1	2	3	4	5	6	7	8	9	10	11	12	13	14
Chapter 1	Chapter 2	Chapter 3	Chapter 4	Chapter 5	Chapter 6	Chapter 7	Chapter 8	Chapter 9	Chapter 10	Chapter 11	Chapter 12	Chapter 13	Chapter 14

c1-1	The Changing Paradigm of Data-Intensive Computing	Richard T. Kouzes, Gordon A. Anderson and 3 others	IEEE Computer	2009	www2.ic.uff.br	0	0	1
c1-2	Local-First Software: You Own Your Data, in Spite of the Cloud	Martin Kleppmann, Adam Wiggins and 2 others	2019 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software	2019	inkandswitch.com	0	0	2
c1-3	Fundamentals of Data Engineering	Joe Reis and Matt Housley		2022	oreilly.com	2	0	3
c1-4	Analytics Engineering with SQL and dbt	Rui Pedro Machado and Helder Russa		2023	oreilly.com	2	0	4
c1-5	Providing OLAP to User-Analysts: An IT Mandate	Edgar F. Codd, S. B. Codd and C. T. Salley		1993	scispace.com	0	0	5
c1-6	Comparing Three Real-Time OLAP Databases: Apache Pinot, Apache Druid, and ClickHouse	Chinmay Soman and Neha Pawar	startree.ai	2023	startree.ai	1	0	6
c1-7	An Overview of Data Warehousing and OLAP Technology	Surajit Chaudhuri and Umeshwar Dayal	ACM SIGMOD Record	1997	microsoft.com	0	0	7
c1-8	Hybrid Transactional/Analytical Processing: A Survey	Fatma Özcan, Yuanyuan Tian and Pinar Tözün	ACM International Conference on Management of Data	2017	humming80.github.io	0	0	8
c1-9	Cloud-Native Transactions and Analytics in SingleStore	Adam Prout, Szu-Po Wang and 9 others	International Conference on Management of Data	2022	dl.acm.org	0	0	9
c1-10	HTAP Databases: A Survey	Chao Zhang, Guoliang Li and 3 others	IEEE Transactions on Knowledge and Data Engineering	2024	arxiv.org	0	0	10
c1-11	'One Size Fits All': An Idea Whose Time Has Come and Gone	Michael Stonebraker and Uğur Çetintemel	21st International Conference on Data Engineering	2005	pages.cs.wisc.edu	0	0	11
c1-12	MAD Skills: New Analysis Practices for Big Data	Jeffrey Cohen, Brian Dolan and 3 others	Proceedings of the VLDB Endowment	2009	vldb.org	0	0	12
c1-13	The Relational Data Borg Is Learning	Dan Olteanu	Proceedings of the VLDB Endowment	2020	vldb.org	0	0	13
c1-14	Emerging Architectures for Modern Data Infrastructure: 2020	Matt Bornstein, Martin Casado and Jennifer Li	future.a16z.com	2020	future.a16z.com	1	0	14
c1-15	Data Lakes: A Survey of Functions and Systems	Rihan Hai, Christos Koutras and 2 others	IEEE Transactions on Knowledge and Data Engineering	2023	pure.tudelft.nl	0	0	15
c1-16	Data Lake	Martin Fowler	martinfowler.com	2015	martinfowler.com	1	0	16
c1-17	The Sushi Principle: Raw Data Is Better	Bobby Johnson and Joseph Adler	Strata+Hadoop World	2015	learning.oreilly.com	3	0	17
c1-18	The DataOps Manifesto	DataKitchen, Inc	dataopsmanifesto.org	2017	dataopsmanifesto.org	1	0	18
c1-19	What Is Reverse ETL: A Definition & Why It's Taking Off	Tejas Manohar	hightouch.io	2021	hightouch.io	1	0	19
c1-20	Why Is It So Hard to Decide to Buy?	Camille Fournier	skamille.medium.com	2021	skamille.medium.com	1	0	20
c1-21	Why We’re Leaving the Cloud	David Heinemeier Hansson	world.hey.com	2022	world.hey.com	1	0	21
c1-22	Use One Big Server	Nima Badizadegan	specbranch.com	2022	specbranch.com	1	0	22
c1-23	Dear Google Cloud: Your Deprecation Policy Is Killing You	Steve Yegge	steve-yegge.medium.com	2020	steve-yegge.medium.com	1	0	23
c1-24	Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases	Alexandre Verbitski, Anurag Gupta and 8 others	ACM International Conference on Management of Data	2017	media.amazonwebservices.com	0	0	24
c1-25	Socrates: The New SQL Server in the Cloud	Panagiotis Antonopoulos, Alex Budovski and 15 others	ACM International Conference on Management of Data	2019	microsoft.com	0	0	25
c1-26	Building an Elastic Query Engine on Disaggregated Storage	Midhul Vuppalapati, Justin Miron and 4 others	17th USENIX Symposium on Networked Systems Design and Implementation	2020	usenix.org	0	0	26
c1-27	The Real Failure Rate of EBS	Nick Van Wiggeren	planetscale.com	2025	planetscale.com	1	0	27
c1-28	Predicting the Future of Distributed Systems	Colin Breck	blog.colinbreck.com	2024	blog.colinbreck.com	1	0	28
c1-29	Compute-Storage Separation Explained	Gwen Shapira	thenile.dev	2023	thenile.dev	1	0	29
c1-30	AlloyDB for PostgreSQL Under the Hood: Intelligent, Database-Aware Storage	Ravi Murthy and Gurmeet Goindi	cloud.google.com	2022	cloud.google.com	1	0	30
c1-31	The Architecture of Serverless Data Systems	Jack Vanlightly	jack-vanlightly.com	2023	jack-vanlightly.com	1	0	31
c1-32	Cloud Programming Simplified: A Berkeley View on Serverless Computing	Eric Jonas, Johann Schleier-Smith and 12 others	arXiv	2019	arxiv.org	0	0	32
c1-33	Site Reliability Engineering: How Google Runs Production Systems	Betsy Beyer, Jennifer Petoff and 2 others		2016	oreilly.com	2	0	33
c1-34	The Time I Stole $10,000 from Bell Labs	Thomas Limoncelli	ACM Queue	2020	queue.acm.org	0	0	34
c1-35	The Future of Ops Jobs	Charity Majors	acloudguru.com	2020	acloudguru.com	1	0	35
c1-36	(Over)Pay as You Go for Your Datastore	Boris Cherkasky	medium.com	2021	medium.com	1	0	36
c1-37	Serverless Doesn’t Mean DevOpsLess or NoOps	Shlomi Kushchi	thenewstack.io	2023	thenewstack.io	1	0	37
c1-38	Storm in the Stratosphere: How the Cloud Will Be Reshuffled	Erik Bernhardsson	erikbern.com	2021	erikbern.com	1	0	38
c1-39	The Data OS	Benn Stancil	benn.substack.com	2021	benn.substack.com	1	0	39
c1-40	Data Residency Laws Pushing Companies Toward Residency as a Service	Maria Korolov	csoonline.com	2022	csoonline.com	1	0	40
c1-41	Can Data Centers Flex Their Power Demand?	Severin Borenstein	energyathaas.wordpress.com	2025	energyathaas.wordpress.com	1	0	41
c1-42	Carbon Dependencies in Datacenter Design and Management	Bilge Acun, Benjamin Lee and 6 others	ACM SIGENERGY Energy Informatics Review	2023	hotcarbon.org	0	0	42
c1-43	These Are the Numbers Every Computer Engineer Should Know	Kousik Nath	freecodecamp.org	2019	freecodecamp.org	1	0	43
c1-44	Serverless Computing: One Step Forward, Two Steps Back	Joseph M. Hellerstein, Jose Faleiro and 5 others	arXiv	2018	arxiv.org	0	0	44
c1-45	Scalability! But at What COST?	Frank McSherry, Michael Isard and Derek G. Murray	15th USENIX Workshop on Hot Topics in Operating Systems	2015	usenix.org	0	0	45
c1-46	Distributed Systems Observability: A Guide to Building Robust Systems	Cindy Sridharan	. Report, O'Reilly Media, 2018. Archived at [	2018	unlimited.humio.com	4	0	46
c1-47	Observability—A 3-Year Retrospective	Charity Majors	thenewstack.io	2019	thenewstack.io	1	0	47
c1-48	Dapper, a Large-Scale Distributed Systems Tracing Infrastructure	Benjamin H. Sigelman, Luiz André Barroso and 6 others		2010	research.google	4	0	48
c1-49	Data Management in Microservices: State of the Practice, Challenges, and Research Directions	Rodrigo Laigner, Yongluan Zhou and 3 others	Proceedings of the VLDB Endowment	2021	vldb.org	0	0	49
c1-50	Big Data Is Dead	Jordan Tigani	motherduck.com	2023	motherduck.com	1	0	50
c1-51	Building Microservices*, 2nd edition	Sam Newman		2021	oreilly.com	2	0	51
c1-52	Microservices: Decomposing Applications for Deployability and Scalability	Chris Richardson	infoq.com	2014	infoq.com	3	0	52
c1-53	Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider	Mohammad Shahrad, Rodrigo Fonseca and 8 others	USENIX Annual Technical Conference	2020	usenix.org	0	0	53
c1-54	The Datacenter as a Computer: Designing Warehouse-Scale Machines	Luiz André Barroso, Urs Hölzle and Parthasarathy Ranganathan		2019	link.springer.com	2	0	54
c1-55	Detection and Correction of Silent Data Corruption for Large-Scale High-Performance Computing	David Fiala, Frank Mueller and 4 others	International Conference for High Performance Computing, Networking, Storage and Analysis	2012	arcb.csc.ncsu.edu	0	0	55
c1-56	Securing RDMA for High-Performance Datacenter Storage Systems	Anna Kornfeld Simpson, Adriana Szekeres and 2 others	12th USENIX Workshop on Hot Topics in Cloud Computing	2020	usenix.org	0	0	56
c1-57	Jupiter Rising: A Decade of Clos Topologies and Centralized Control in Google’s Datacenter Network	Arjun Singh, Joon Ong and 16 others	Annual Conference of the ACM Special Interest Group on Data Communication	2015	conferences.sigcomm.org	0	0	57
c1-58	Hadoop’s Uncomfortable Fit in HPC	Glenn K. Lockwood	glennklockwood.blogspot.co.uk	2014	blog.glennklockwood.com	1	0	58
c1-59	Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy	Cathy O'Neil		2016		2	0	59
c1-60	Understanding and Benchmarking the Impact of GDPR on Database Systems	Supreeth Shastri, Vinay Banakar and 3 others	Proceedings of the VLDB Endowment	2020	vldb.org	0	0	60
c1-61	Datensparsamkeit	Martin Fowler	martinfowler.com	2013	martinfowler.com	1	0	61
c1-62	Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 (General Data Protection Regulation)		Official Journal of the European Union	2016	eur-lex.europa.eu	1	0	62
c2-1	How We Learned to Stop Worrying and Love Fan-in at Twitter	Mike Cvet	QCon San Francisco	2016	youtube.com	3	1	1
c2-2	Timelines at Scale	Raffi Krikorian	QCon San Francisco	2012	infoq.com	3	1	2
c2-3	Twitter's Recommendation Algorithm	Twitter	blog.x.com	2023	blog.twitter.com	1	1	3
c2-4	New Tweets per Second Record, and How!	Raffi Krikorian	blog.x.com	2013	blog.twitter.com	1	1	4
c2-5	When Imperfect Systems Are Good, Actually: Bluesky's Lossy Timelines	Jaz Volpert	jazco.dev	2025	jazco.dev	1	1	5
c2-6	3% of Twitter's Servers Dedicated to Justin Bieber	Samuel Axon	mashable.com	2010	mashable.com	1	1	6
c2-7	Metastable Failures in Distributed Systems	Nathan Bronson, Abutalib Aghayev and 2 others	Workshop on Hot Topics in Operating Systems	2021	sigops.org	0	1	7
c2-8	Metastability and Distributed Systems	Marc Brooker	brooker.co.za	2021	brooker.co.za	1	1	8
c2-9	Metastable Failures in the Wild	Lexiang Huang, Matthew Magnusson and 6 others	16th USENIX Symposium on Operating Systems Design and Implementation	2022	usenix.org	0	1	9
c2-10	Exponential Backoff and Jitter	Marc Brooker	aws.amazon.com	2015	aws.amazon.com	1	1	10
c2-11	What Is Backoff For?	Marc Brooker	brooker.co.za	2022	brooker.co.za	1	1	11
c2-12	Release It!	Michael T. Nygard		2018	learning.oreilly.com	2	1	12
c2-13	Slowing Down to Speed Up—Circuit Breakers for Slack’s CI/CD	Frank Chen	slack.engineering	2022	slack.engineering	1	1	13
c2-14	Fixing Retries with Token Buckets and Circuit Breakers	Marc Brooker	brooker.co.za	2022	brooker.co.za	1	1	14
c2-15	Using Load Shedding to Avoid Overload	David Yanacek	aws.amazon.com		aws.amazon.com	1	1	15
c2-16	Pushing Back	Matthew Sackman	wellquite.org	2016	wellquite.org	1	1	16
c2-17	Meet Bandaid, the Dropbox Service Proxy	Dmitry Kopytkov and Patrick Lee	dropbox.tech	2018	dropbox.tech	1	1	17
c2-18	Fail-Slow at Scale: Evidence of Hardware Performance Faults in Large Production Systems	Haryadi S. Gunawi, Riza O. Suminto and 19 others	16th USENIX Conference on File and Storage Technologies	2018	usenix.org	0	1	18
c2-19	Is the Mean Really Useless?	Marc Brooker	brooker.co.za	2017	brooker.co.za	1	1	19
c2-20	Dynamo: Amazon's Highly Available Key-Value Store	Giuseppe DeCandia, Deniz Hastorun and 7 others	21st ACM Symposium on Operating Systems Principles	2007	allthingsdistributed.com	0	1	20
c2-21	The Need for Speed, 23 Years Later	Kathryn Whitenton	nngroup.com	2020	nngroup.com	1	1	21
c2-22	Marissa Mayer at Web 2.0	Greg Linden	glinden.blogspot.com	2005	glinden.blogspot.com	1	1	22
c2-23	Speed Matters for Google Web Search	Jake Brutlag	services.google.com	2009	services.google.com	1	1	23
c2-24	Performance Related Changes and Their User Impact	Eric Schurman and Jake Brutlag	Velocity 2009	2009	youtube.com	3	1	24
c2-25	The State of Online Retail Performance	Akamai Technologies, Inc	akamai.com	2017	web.archive.org	1	1	25
c2-26	Understanding and Leveraging the Impact of Response Latency on User Behaviour in Web Search	Xiao Bai, Ioannis Arapakis and 2 others	ACM Transactions on Information Systems	2018	hdl.handle.net	0	1	26
c2-27	The Tail at Scale	Jeffrey Dean and Luiz André Barroso	Communications of the ACM	2013	cacm.acm.org	0	1	27
c2-28	Implementing Service Level Objectives: A Practical Guide to SLIs, SLOs, and Error Budgets	Alex Hidalgo		2020	oreilly.com	2	1	28
c2-29	Nines Are Not Enough: Meaningful Metrics for Clouds	Jeffrey C. Mogul and John Wilkes	17th Workshop on Hot Topics in Operating Systems	2019	research.google	0	1	29
c2-30	Meaningful Availability	Tamás Hauer, Philipp Hoffmann and 3 others	17th USENIX Symposium on Networked Systems Design and Implementation	2020	usenix.org	0	1	30
c2-31	HdrHistogram: A High Dynamic Range Histogram	Gil Tene	hdrhistogram.github.io/HdrHistogram		hdrhistogram.github.io	1	1	31
c2-32	The *t*-digest: Efficient Estimates of Distributions	Ted Dunning	Software Impacts	2021	sciencedirect.com	0	1	32
c2-33	How Percentile Approximation Works (and Why It's More Useful than Averages)	David Kohn	timescale.com	2021	timescale.com	1	1	33
c2-34	Circllhist—A Log-Linear Histogram Data Structure for IT Infrastructure Monitoring	Heinrich Hartmann and Theo Schlossnagle	arXiv	2020	arxiv.org	0	1	34
c2-35	DDSketch: A Fast and Fully-Mergeable Quantile Sketch with Relative-Error Guarantees	Charles Masson, Jee E. Rim and Homin K. Lee	Proceedings of the VLDB Endowment	2019	vldb.org	0	1	35
c2-36	Why Percentiles Don’t Work the Way You Think	Baron Schwartz	solarwinds.com	2016	orangematter.solarwinds.com	1	1	36
c2-37	A Conceptual Framework for System Fault Tolerance	Walter L. Heimerdinger and Charles B. Weinstock		1992	resources.sei.cmu.edu	4	1	37
c2-38	Fundamentals of Fault-Tolerant Distributed Computing in Asynchronous Environments	Felix C. Gärtner	ACM Computing Surveys	1999	dl.acm.org	0	1	38
c2-39	Basic Concepts and Taxonomy of Dependable and Secure Computing	Algirdas Avižienis, Jean-Claude Laprie and 2 others	IEEE Transactions on Dependable and Secure Computing	2004	hdl.handle.net	0	1	39
c2-40	Simple Testing Can Prevent Most Critical Failures: An Analysis of Production Failures in Distributed Data-Intensive Systems	Ding Yuan, Yu Luo and 6 others	11th USENIX Symposium on Operating Systems Design and Implementation	2014	usenix.org	0	1	40
c2-41	Chaos Engineering	Casey Rosenthal and Nora Jones		2020	learning.oreilly.com	2	1	41
c2-42	Failure Trends in a Large Disk Drive Population	Eduardo Pinheiro, Wolf-Dietrich Weber and Luiz Andre Barroso	5th USENIX Conference on File and Storage Technologies	2007	usenix.org	0	1	42
c2-43	Disk Failures in the Real World: What Does an Mttf of 1,000,000 Hours Mean to You?	Bianca Schroeder and Garth A. Gibson	5th USENIX Conference on File and Storage Technologies	2007	usenix.org	0	1	43
c2-44	Backblaze Drive Stats for Q2 2021	Andy Klein	backblaze.com	2021	backblaze.com	1	1	44
c2-45	SSD Failures in Datacenters: What? When? And Why?	Iyswarya Narayanan, Di Wang and 8 others	9th ACM International on Systems and Storage Conference	2016	microsoft.com	0	1	45
c2-46	Storage System Design Analysis: Factors Affecting NVMe SSD Performance (1)	Alibaba Cloud Storage Team	alibabacloud.com	2019	alibabacloud.com	1	1	46
c2-47	Flash Reliability in Production: The Expected and the Unexpected	Bianca Schroeder, Raghav Lagisetty and Arif Merchant	14th USENIX Conference on File and Storage Technologies	2016	usenix.org	0	1	47
c2-48	SSD Failures in the Field: Symptoms, Causes, and Prediction Models	Jacob Alter, Ji Xue and 2 others	International Conference for High Performance Computing, Networking, Storage and Analysis	2019	dl.acm.org	0	1	48
c2-49	Availability in Globally Distributed Storage Systems	Daniel Ford, François Labelle and 6 others	9th USENIX Symposium on Operating Systems Design and Implementation	2010	usenix.org	0	1	49
c2-50	Characterizing Cloud Computing Hardware Reliability	Kashi Venkatesh Vishwanath and Nachiappan Nagappan	1st ACM Symposium on Cloud Computing	2010	microsoft.com	0	1	50
c2-51	Cores That Don't Count	Peter H. Hochschild, Paul Turner and 5 others	Workshop on Hot Topics in Operating Systems	2021	sigops.org	0	1	51
c2-52	Silent Data Corruptions at Scale	Harish Dattatraya Dixit, Sneha Pendharkar and 5 others	arXiv	2021	arxiv.org	0	1	52
c2-53	Scalable Error Isolation for Distributed Systems	Diogo Behrens, Marco Serafini and 3 others	12th USENIX Symposium on Networked Systems Design and Implementation	2015	usenix.org	0	1	53
c2-54	DRAM Errors in the Wild: A Large-Scale Field Study	Bianca Schroeder, Eduardo Pinheiro and Wolf-Dietrich Weber	11th International Joint Conference on Measurement and Modeling of Computer Systems	2009	static.googleusercontent.com	0	1	54
c2-55	Flipping Bits in Memory Without Accessing Them: An Experimental Study of DRAM Disturbance Errors	Yoongu Kim, Ross Daly and 7 others	41st Annual International Symposium on Computer Architecture	2014	users.ece.cmu.edu	0	1	55
c2-56	Worst Case	Tim Bray	tbray.org	2021	tbray.org	1	1	56
c2-57	Solar Superstorms: Planning for an Internet Apocalypse	Sangeetha Abdu Jyothi	ACM SIGCOMM Conference	2021	ics.uci.edu	0	1	57
c2-58	Failure Modes and Continuous Resilience	Adrian Cockcroft	adrianco.medium.com	2019	adrianco.medium.com	1	1	58
c2-59	An In-Depth Study of Correlated Failures in Production SSD-Based Data Centers	Shujie Han, Patrick P. C. Lee and 4 others	19th USENIX Conference on File and Storage Technologies	2021	usenix.org	0	1	59
c2-60	Cycles, Cells and Platters: An Empirical Analysis of Hardware Failures on a Million Consumer PCs	Edmund B. Nightingale, John R. Douceur and Vince Orgovan	6th European Conference on Computer Systems	2011	eurosys2011.cs.uni-salzburg.at	0	1	60
c2-61	What Bugs Live in the Cloud? A Study of 3000+ Issues in Cloud Systems	Haryadi S. Gunawi, Mingzhe Hao and 9 others	5th ACM Symposium on Cloud Computing	2014	ucare.cs.uchicago.edu	0	1	61
c2-62	Getting Real About Distributed System Reliability	Jay Kreps	blog.empathybox.com	2012	blog.empathybox.com	1	1	62
c2-63	Leap Second Crashes Half the Internet	Nelson Minar	somebits.com	2012	somebits.com	1	1	63
c2-64	Support Alerts—Customer Bulletin a00092491en_us	Hewlett Packard Enterprise	support.hpe.com	2019	support.hpe.com	1	1	64
c2-65	Awesome Limits	Lorin Hochstein	github.com	2020	github.com	6	1	65
c2-66	Clients Are Jerks: AKA How Halo 4 DoSed the Services at Launch & How We Survived	Caitie McCaffrey	caitiem.com	2015	caitiem.com	1	1	66
c2-67	Fail Through the Cracks: Cross-System Interaction Failures in Modern Cloud Systems	Lilia Tang, Chaitanya Bhandari and 5 others	18th European Conference on Computer Systems	2023	tianyin.github.io	0	1	67
c2-68	Addressing Cascading Failures	Mike Ulrich	Site Reliability Engineering: How Google Runs Production Systems	2016	sre.google	2	1	68
c2-69	Cascading Failures in Large-Scale Distributed Systems	Harri Faßbender	blog.mi.hdm-stuttgart.de	2022	blog.mi.hdm-stuttgart.de	1	1	69
c2-70	How Complex Systems Fail	Richard I. Cook		2000	adaptivecapacitylabs.com	1	1	70
c2-71	STELLA: Report from the SNAFUcatchers Workshop on Coping with Complexity	David D. Woods	snafucatchers.github.io	2017	snafucatchers.github.io	0	1	71
c2-72	Why Do Internet Services Fail, and What Can Be Done About It?	David Oppenheimer, Archana Ganapathi and David A. Patterson	4th USENIX Symposium on Internet Technologies and Systems	2003	static.usenix.org	0	1	72
c2-73	The Field Guide to Understanding "Human Error"*, 3rd edition	Sidney Dekker		2017	learning.oreilly.com	2	1	73
c2-74	Drift into Failure: From Hunting Broken Components to Understanding Complex Systems	Sidney Dekker		2011	taylorfrancis.com	2	1	74
c2-75	Blameless PostMortems and a Just Culture	John Allspaw	etsy.com	2012	etsy.com	1	1	75
c2-76	Uptime Guarantees—A Pragmatic Perspective	Itzy Sabo	world.hey.com	2023	world.hey.com	1	1	76
c2-77	The Human Impact of Bugs	Michael Jurewitz	jury.me	2013	jury.me	1	1	77
c2-78	How Software Bugs Led to ‘One of the Greatest Miscarriages of Justice’ in British History	Mark Halper	Communications of the ACM	2025	cacm.acm.org	0	1	78
c2-79	The Legal Rule That Computers Are Presumed to be Operating Correctly—Unforeseen and Unjust Consequences	Nicholas Bohm, James Christie and 8 others	benthamsgaze.org	2022	benthamsgaze.org	1	1	79
c2-80	Choose Boring Technology	Dan McKinley	mcfunley.com	2015	mcfunley.com	1	1	80
c2-81	Building and Operating a Pretty Big Storage System Called S3	Andy Warfield	allthingsdistributed.com	2023	allthingsdistributed.com	1	1	81
c2-82	Surprising Scalability of Multitenancy	Marc Brooker	brooker.co.za	2023	brooker.co.za	1	1	82
c2-83	Shared Nothing vs. Shared Disk Architectures: An Independent View	Ben Stopford	benstopford.com	2009	benstopford.com	1	1	83
c2-84	The Case for Shared Nothing	Michael Stonebraker	IEEE Database Engineering Bulletin	1986	dsf.berkeley.edu	1	1	84
c2-85	Socrates: The New SQL Server in the Cloud	Panagiotis Antonopoulos, Alex Budovski and 15 others	ACM International Conference on Management of Data	2019	microsoft.com	0	1	85
c2-86	Building Microservices*, 2nd edition	Sam Newman		2021	oreilly.com	2	1	86
c2-87	When Good Software Goes Bad: The Surprising Durability of an Ephemeral Technology	Nathan Ensmenger	The Maintainers Conference	2016	themaintainers.wpengine.com	0	1	87
c2-88	Facts and Fallacies of Software Engineering	Robert L. Glass		2002	learning.oreilly.com	2	1	88
c2-89	Kill It with Fire	Marianne Bellotti		2021	learning.oreilly.com	2	1	89
c2-90	Ironies of Automation	Lisanne Bainbridge	Automatica	1983	adaptivecapacitylabs.com	0	1	90
c2-91	On Designing and Deploying Internet-Scale Services	James Hamilton	21st Large Installation System Administration Conference	2007	usenix.org	0	1	91
c2-92	Open Source for Better Observability	Dotan Horovits	horovits.medium.com	2021	horovits.medium.com	1	1	92
c2-93	Big Ball of Mud	Brian Foote and Joseph Yoder	4th Conference on Pattern Languages of Programs	1997	laputan.org	0	1	93
c2-94	What Is a Simple System?	Marc Brooker	brooker.co.za	2022	brooker.co.za	1	1	94
c2-95	No Silver Bullet—Essence and Accident in Software Engineering	Frederick P. Brooks	The Mythical Man-Month	1995	worrydream.com	2	1	95
c2-96	Against Essential and Accidental Complexity	Dan Luu	danluu.com	2020	danluu.com	1	1	96
c2-97	Design Patterns: Elements of Reusable Object-Oriented Software	Erich Gamma, Richard Helm and 2 others		1994	learning.oreilly.com	2	1	97
c2-98	Domain-Driven Design: Tackling Complexity in the Heart of Software	Eric Evans		2003	learning.oreilly.com	2	1	98
c2-99	Analyzing Software Evolvability	Hongyu Pei Breivold, Ivica Crnkovic and Peter J. Eriksson	32nd Annual IEEE International Computer Software and Applications Conference	2008	es.mdh.se	0	1	99
c2-100	From X Programming to the X Organisation	Enrico Zaninotto	XP Conference	2002	martinfowler.com	0	1	100
c3-1	Unexplanations: Query Optimization Works Because SQL Is Declarative	Jamie Brandon	scattered-thoughts.net	2024	scattered-thoughts.net	1	2	1
c3-2	What Declarative Languages Are	Neel Krishnaswami	semantic-domain.blogspot.com	2013	semantic-domain.blogspot.com	1	2	2
c3-3	The Declarative Imperative: Experiences and Conjectures in Distributed Logic	Joseph M. Hellerstein		2010	www2.eecs.berkeley.edu	1	2	3
c3-4	A Relational Model of Data for Large Shared Data Banks	Edgar F. Codd	Communications of the ACM	1970	seas.upenn.edu	0	2	4
c3-5	What Goes Around Comes Around	Michael Stonebraker and Joseph M. Hellerstein	Readings in Database Systems	2005	mitpress2.mit.edu	2	2	5
c3-6	Modern SQL: Beyond Relational	Markus Winand	modern-sql.com	2015	modern-sql.com	1	2	6
c3-7	Orm Hate	Martin Fowler	martinfowler.com	2012	martinfowler.com	1	2	7
c3-8	N+1 Query Problem with JPA and Hibernate	Vlad Mihalcea	vladmihalcea.com	2023	vladmihalcea.com	1	2	8
c3-9	This Is the Beginning of the End of the N+1 Problem: Introducing Single Query Loading	Jens Schauder	spring.io	2023	spring.io	1	2	9
c3-10	SQL Needed Structure	Jamie Brandon	scattered-thoughts.net	2025	scattered-thoughts.net	1	2	10
c3-11	6 Rules of Thumb for MongoDB Schema Design	William Zola	mongodb.com	2014	mongodb.com	1	2	11
c3-12	Data Modeling in Azure Cosmos DB	Sidney Andrews and Christopher McClister	learn.microsoft.com	2023	learn.microsoft.com	1	2	12
c3-13	Timelines at Scale	Raffi Krikorian	QCon San Francisco	2012	infoq.com	3	2	13
c3-14	The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling	Ralph Kimball and Margy Ross		2013	learning.oreilly.com	2	2	14
c3-15	Data Warehouse Modeling: Star Schema vs. OBT	Michael Kaminsky	fivetran.com	2022	fivetran.com	1	2	15
c3-16	User-defined Order in SQL	Joe Nelson	begriffs.com	2018	begriffs.com	1	2	16
c3-17	Realtime Editing of Ordered Sequences	Evan Wallace	figma.com	2017	figma.com	1	2	17
c3-18	Implementing Fractional Indexing	David Greenspan	observablehq.com	2020	observablehq.com	1	2	18
c3-19	Schemaless Data Structures	Martin Fowler	martinfowler.com	2013	martinfowler.com	1	2	19
c3-20	Schema-on-Read vs. Schema-on-Write	Amr Awadallah	Berkeley EECS RAD Lab Retreat	2009	slideshare.net	0	2	20
c3-21	The Trouble with Types	Martin Odersky	Strange Loop	2013	infoq.com	3	2	21
c3-22	MongoDB—Confessions of a PostgreSQL Lover	Conrad Irwin	HTML5DevConf	2013	speakerdeck.com	0	2	22
c3-23	Percona Toolkit Documentation: pt-online-schema-change		docs.percona.com	2023	docs.percona.com	5	2	23
c3-24	gh-ost: GitHub's Online Schema Migration Tool for MySQL	Shlomi Noach	github.blog	2016	github.blog	1	2	24
c3-25	pg-osc: Zero Downtime Schema Changes in PostgreSQL	Shayon Mukherjee	shayon.dev	2022	shayon.dev	1	2	25
c3-26	Introducing pgroll: Zero-Downtime, Reversible, Schema Migrations for Postgres	Carlos Pérez-Aradros Herce	xata.io	2023	xata.io	1	2	26
c3-27	Spanner: Google’s Globally-Distributed Database		10th USENIX Symposium on Operating System Design and Implementation	2012	research.google	0	2	27
c3-28	Reduce I/O with Oracle Cluster Tables	Donald K. Burleson	dba-oracle.com		perma.cc	1	2	28
c3-29	Bigtable: A Distributed Storage System for Structured Data	Fay Chang, Jeffrey Dean and 7 others	7th USENIX Symposium on Operating System Design and Implementation	2006	research.google	0	2	29
c3-30	XQuery*, 2nd edition	Priscilla Walmsley		2015	learning.oreilly.com	2	2	30
c3-31	JavaScript Object Notation (JSON) Pointer	Paul C. Bryan, Kris Zyp and Mark Nottingham		2013	rfc-editor.org	5	2	31
c3-32	JSONPath: Query Expressions for JSON	Stefan Gössner, Glyn Normington and Carsten Bormann		2024	rfc-editor.org	5	2	32
c3-33	What Goes Around Comes Around… And Around…	Michael Stonebraker and Andrew Pavlo	ACM SIGMOD Record	2024	db.cs.cmu.edu	0	2	33
c3-34	The PageRank Citation Ranking: Bringing Order to the Web	Lawrence Page, Sergey Brin and 2 others			ilpubs.stanford.edu	1	2	34
c3-35	TAO: Facebook’s Distributed Data Store for the Social Graph	Nathan Bronson, Zach Amsden and 13 others	USENIX Annual Technical Conference	2013	usenix.org	0	2	35
c3-36	Industry-Scale Knowledge Graphs: Lessons and Challenges	Natasha Noy, Yuqing Gao and 4 others	Communications of the ACM	2019	cacm.acm.org	0	2	36
c3-37	KÙZU Graph Database Management System	Xiyang Feng, Guodong Jin and 3 others	13th Annual Conference on Innovative Data Systems Research	2023	cidrdb.org	0	2	37
c3-38	Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries	Maciej Besta, Emanuel Peter and 6 others	arXiv	2019	arxiv.org	0	2	38
c3-39	Apache TinkerPop. TinkerPop 3.6.3 Documentation		tinkerpop.apache.org	2023	tinkerpop.apache.org	5	2	39
c3-40	Cypher: An Evolving Query Language for Property Graphs	Nadime Francis, Alastair Green and 8 others	International Conference on Management of Data	2018	core.ac.uk	0	2	40
c3-41	Twitter correspondence	Emil Eifrem		2014	twitter.com	1	2	41
c3-42	Explore the New SEARCH and CYCLE Features in PostgreSQL® 14	Francesco Tisiot	aiven.io	2021	aiven.io	1	2	42
c3-43	Understanding Hierarchies in Oracle	Gaurav Goel	towardsdatascience.com	2020	medium.com	1	2	43
c3-44	Seamless Syntactic and Semantic Integration of Query Primitives over Relational and Graph Data in GSQL	Alin Deutsch, Yu Xu and Mingxi Wu	tigergraph.com	2018	cdn2.hubspot.net	1	2	44
c3-45	PGQL: A Property Graph Query Language	Oskar van Rest, Sungpack Hong and 3 others	4th International Workshop on Graph Data Management Experiences and Systems	2016	event.cwi.nl	0	2	45
c3-46	GQL: The ISO Standard for Graphs Has Arrived	Philip Rathle and Brad Bebee	aws.amazon.com	2024	aws.amazon.com	1	2	46
c3-47	Graph Pattern Matching in GQL and SQL/PGQ	Alin Deutsch, Nadime Francis and 16 others	International Conference on Management of Data	2022	victor.marsault.xyz	0	2	47
c3-48	SQL...And Now GQL	Alastair Green	opencypher.org	2019	opencypher.org	1	2	48
c3-49	Neptune Graph Data Model	Amazon Web Services	docs.aws.amazon.com		docs.aws.amazon.com	5	2	49
c3-50	Datomic Data Model	Cognitect	docs.datomic.com		docs.datomic.com	5	2	50
c3-51	Turtle—Terse RDF Triple Language	David Beckett and Tim Berners-Lee		2011	w3.org	5	2	51
c3-52	Whatever Happened to the Semantic Web?	Sinclair Target	twobithistory.org	2018	twobithistory.org	1	2	52
c3-53	The Semantic Web Is Dead—Long Live the Semantic Web!	Gavin Mendel-Gleason	terminusdb.com	2022	github.com	6	2	53
c3-54	JSON-LD and Why I Hate the Semantic Web	Manu Sporny	manu.sporny.org	2014	perma.cc	1	2	54
c3-55	Biomedical Ontologies and Controlled Vocabularies	University of Michigan Library	guides.lib.umich.edu/ontology		guides.lib.umich.edu	1	2	55
c3-56	The Open Graph Protocol	Facebook	ogp.me		ogp.me	1	2	56
c3-57	Everything You Ever Wanted to Know About Unfurling but Were Afraid to Ask /or/ How to Make Your Site Previews Look Amazing in Slack	Matt Haughey	medium.com	2015	medium.com	1	2	57
c3-58	Resource Description Framework (RDF)	W3C RDF Working Group	w3.org	2004	w3.org	5	2	58
c3-59	SPARQL 1.1 Query Language	Steve Harris, Andy Seaborne and Eric Prud'hommeaux		2013	w3.org	5	2	59
c3-60	Datalog and Recursive Query Processing	Todd J. Green, Shan Shan Huang and 2 others	Foundations and Trends in Databases	2013	blogs.evergreen.edu	0	2	60
c3-61	What You Always Wanted to Know About Datalog (And Never Dared to Ask)	Stefano Ceri, Georg Gottlob and Letizia Tanca	IEEE Transactions on Knowledge and Data Engineering	1989	www2.cs.sfu.ca	0	2	61
c3-62	Foundations of Databases	Serge Abiteboul, Richard Hull and Victor Vianu	webdam.inria.fr/Alice	1995	webdam.inria.fr	2	2	62
c3-63	LIquid: The Soul of a New Graph Database, Part 2	Scott Meyer, Andrew Carter and Andrew Rodriguez	engineering.linkedin.com	2020	engineering.linkedin.com	1	2	63
c3-64	Why, After 6 Years, I’m over GraphQL	Matt Bessey	bessey.dev	2024	bessey.dev	1	2	64
c3-65	Exploring CQRS and Event Sourcing	Dominic Betts, Julián Domínguez and 3 others		2012	learn.microsoft.com	2	2	65
c3-66	CQRS and Event Sourcing	Greg Young	Code on the Beach	2014	youtube.com	3	2	66
c3-67	CQRS Documents	Greg Young	cqrs.wordpress.com	2010	cqrs.files.wordpress.com	1	2	67
c3-68	Crypto Shredding: How It Can Solve Modern Data Retention Challenges	Brent Robinson	medium.com	2019	medium.com	1	2	68
c3-69	Towards Scalable Dataframe Systems	Devin Petersohn, Stephen Macke and 8 others	Proceedings of the VLDB Endowment	2020	vldb.org	0	2	69
c3-70	The TileDB Array Data Storage Manager	Stavros Papadopoulos, Kushal Datta and 2 others	Proceedings of the VLDB Endowment	2016	vldb.org	0	2	70
c3-71	Multidimensional Array Data Management	Florin Rusu	Foundations and Trends in Databases	2023	faculty.ucmerced.edu	0	2	71
c3-72	Bloomberg, Man Group Team Up to Develop Open Source 'ArcticDB' Database	Ed Targett	thestack.technology	2023	thestack.technology	1	2	72
c3-73	GenBank	Dennis A. Benson, Ilene Karsch-Mizrachi and 3 others	Nucleic Acids Research	2008	academic.oup.com	0	2	73
c4-1	How Partial, Covering, and Multicolumn Indexes May Slow Down UPDATEs in PostgreSQL	Nikolay Samokhvalov	postgres.ai	2021	postgres.ai	1	3	1
c4-2	Modern B-Tree Techniques	Goetz Graefe	Foundations and Trends in Databases	2011	web.archive.org	0	3	2
c4-3	Why Databases Use Ordered Indexes but Programming Uses Hash Tables	Evan Jones	evanjones.ca	2019	evanjones.ca	1	3	3
c4-4	CEP-25: Trie-Indexed SSTable Format	Branimir Lambov	cwiki.apache.org	2022	cwiki.apache.org	1	3	4
c4-5	Introduction to Algorithms	Thomas H. Cormen, Charles E. Leiserson and 2 others		2009		2	3	5
c4-6	Trie Memtables in Cassandra	Branimir Lambov	Proceedings of the VLDB Endowment	2022	vldb.org	0	3	6
c4-7	The History of RocksDB	Dhruba Borthakur	rocksdb.blogspot.com	2013	rocksdb.blogspot.com	1	3	7
c4-8	Apache HBase I/O—HFile	Matteo Bertozzi	blog.cloudera.com	2012	blog.cloudera.com	1	3	8
c4-9	Bigtable: A Distributed Storage System for Structured Data	Fay Chang, Jeffrey Dean and 7 others	7th USENIX Symposium on Operating System Design and Implementation	2006	research.google	0	3	9
c4-10	The Log-Structured Merge-Tree (LSM-Tree)	Patrick O'Neil, Edward Cheng and 2 others	Acta Informatica	1996	cs.umb.edu	0	3	10
c4-11	The Design and Implementation of a Log-Structured File System	Mendel Rosenblum and John K. Ousterhout	ACM Transactions on Computer Systems	1992	research.cs.wisc.edu	0	3	11
c4-12	Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores	Michael Armbrust, Tathagata Das and 19 others	Proceedings of the VLDB Endowment	2020	vldb.org	0	3	12
c4-13	Space/Time Trade-offs in Hash Coding with Allowable Errors	Burton H. Bloom	Communications of the ACM	1970	people.cs.umass.edu	0	3	13
c4-14	Less Hashing, Same Performance: Building a Better Bloom Filter	Adam Kirsch and Michael Mitzenmacher	Random Structures & Algorithms	2008	eecs.harvard.edu	0	3	14
c4-15	Bloom Filter Calculator	Thomas Hurst	hur.st	2023	hur.st	1	3	15
c4-16	LSM-Based Storage Techniques: a Survey	Chen Luo and Michael J. Carey	The VLDB Journal	2019	arxiv.org	0	3	16
c4-17	Dissecting, Designing, and Optimizing LSM-Based Data Stores	Subhadeep Sarkar and Manos Athanassoulis	ACM International Conference on Management of Data	2022	youtube.com	3	3	17
c4-18	Name That Compaction Algorithm	Mark Callaghan	smalldatum.blogspot.com	2018	smalldatum.blogspot.com	1	3	18
c4-19	Embedded Databases (1): The Harmony of DuckDB, KùzuDB and LanceDB	Prashanth Rao	thedataquarry.com	2023	thedataquarry.com	1	3	19
c4-20	Bluesky Migrates to Single-Tenant SQLite	Hacker News discussion	news.ycombinator.com	2023	news.ycombinator.com	1	3	20
c4-21	Organization and Maintenance of Large Ordered Indices	Rudolf Bayer and Edward M. McCreight		1970	dl.acm.org	0	3	21
c4-22	The Ubiquitous B-Tree	Douglas Comer	ACM Computing Surveys	1979	web.archive.org	0	3	22
c4-23	Torn Write Detection and Protection	Alex Miller	transactional.blog	2025	transactional.blog	1	3	23
c4-24	ARIES/IM: An Efficient and High Concurrency Index Management Method Using Write-Ahead Logging	C. Mohan and Frank Levine	ACM International Conference on Management of Data	1992	ics.uci.edu	0	3	24
c4-25	The Internals of PostgreSQL	Hironobu Suzuki	interdb.jp	2017	interdb.jp	1	3	25
c4-26	LDAP at Lightning Speed	Howard Chu	Build Stuff '14	2014	buildstuff14.sched.com	0	3	26
c4-27	Designing Access Methods: The RUM Conjecture	Manos Athanassoulis, Michael S. Kester and 5 others	19th International Conference on Extending Database Technology	2016	openproceedings.org	0	3	27
c4-28	Log Structured Merge Trees	Ben Stopford	benstopford.com	2015	benstopford.com	1	3	28
c4-29	The Advantages of an LSM vs. a B-Tree	Mark Callaghan	smalldatum.blogspot.co.uk	2016	smalldatum.blogspot.com	1	3	29
c4-30	SILK: Preventing Latency Spikes in Log-Structured Merge Key-Value Stores	Oana Balmau, Florin Dinu and 4 others	USENIX Annual Technical Conference	2019	usenix.org	0	3	30
c4-31	RocksDB Tuning Guide	Igor Canadi, Siying Dong and 2 others	github.com	2023	github.com	6	3	31
c4-32	What Modern NVMe Storage Can Do, and How to Exploit It: High-Performance I/O for High-Performance Storage Engines	Gabriel Haas and Viktor Leis	Proceedings of the VLDB Endowment	2023	vldb.org	0	3	32
c4-33	Coding for SSDs	Emmanuel Goossaert	codecapsule.com	2014	codecapsule.com	1	3	33
c4-34	Is Sequential IO Dead in the Era of the NVMe Drive?	Jack Vanlightly	jack-vanlightly.com	2023	jack-vanlightly.com	1	3	34
c4-35	Storage System Design Analysis: Factors Affecting NVMe SSD Performance (2)	Alibaba Cloud Storage Team	alibabacloud.com	2019	alibabacloud.com	1	3	35
c4-36	The Fundamental Limit of Flash Random Write Performance: Understanding, Analysis and Performance Modelling	Xiao-Yu Hu and Robert Haas	dominoweb.draco.res.ibm.com	2010	dominoweb.draco.res.ibm.com	1	3	36
c4-37	WiscKey: Separating Keys from Values in SSD-Conscious Storage	Lanyue Lu, Thanumalayan Sankaranarayana Pillai and 2 others	4th USENIX Conference on File and Storage Technologies	2016	usenix.org	0	3	37
c4-38	Innodb Double Write	Peter Zaitsev	percona.com	2006	percona.com	1	3	38
c4-39	On the Impact of Full-Page Writes	Tomas Vondra	2ndquadrant.com	2016	2ndquadrant.com	1	3	39
c4-40	Read, Write & Space Amplification—B-Tree vs. LSM	Mark Callaghan	smalldatum.blogspot.com	2015	smalldatum.blogspot.com	1	3	40
c4-41	Choosing Between Efficiency and Performance with RocksDB	Mark Callaghan	Code Mesh	2016	youtube.com	3	3	41
c4-42	Enabling Timely and Persistent Deletion in LSM-Engines	Subhadeep Sarkar, Tarikul Islam Papon and 3 others	ACM Transactions on Database Systems	2023	subhadeep.net	0	3	42
c4-43	Postgres vs. SQL Server: B-Tree Index Differences & the Benefit of Deduplication	Lukas Fittl	pganalyze.com	2025	pganalyze.com	1	3	43
c4-44	How Postgres Stores Data on Disk—This One's a Page Turner	Drew Silcock	drew.silcock.dev	2024	drew.silcock.dev	1	3	44
c4-45	Using Covering Indexes to Improve Query Performance	Joe Webb	simple-talk.com	2008	red-gate.com	1	3	45
c4-46	The End of an Architectural Era (It’s Time for a Complete Rewrite)	Michael Stonebraker, Samuel Madden and 4 others	33rd International Conference on Very Large Data Bases	2007	vldb.org	0	3	46
c4-47	VoltDB Technical Overview White Paper			2017	voltactivedata.com	1	3	47
c4-48	Log-Structured Memory for DRAM-Based Storage	Stephen M. Rumble, Ankita Kejriwal and John K. Ousterhout	12th USENIX Conference on File and Storage Technologies	2014	usenix.org	0	3	48
c4-49	OLTP Through the Looking Glass, and What We Found There	Stavros Harizopoulos, Daniel J. Abadi and 2 others	ACM International Conference on Management of Data	2008	hstore.cs.brown.edu	0	3	49
c4-50	Enhancements to SQL Server Column Stores	Per-Åke Larson, Cipri Clinciu and 9 others	ACM International Conference on Management of Data	2013	web.archive.org	0	3	50
c4-51	The SAP HANA Database—An Architecture Overview	Franz Färber, Norman May and 5 others	IEEE Data Engineering Bulletin	2012	web.archive.org	1	3	51
c4-52	The Traditional RDBMS Wisdom Is (Almost Certainly) All Wrong	Michael Stonebraker	EPFL	2013	slideshot.epfl.ch	1	3	52
c4-53	Cloud-Native Transactions and Analytics in SingleStore	Adam Prout, Szu-Po Wang and 9 others	ACM International Conference on Management of Data	2022	dl.acm.org	0	3	53
c4-54	HyperLogLog: The Analysis of a Near-Optimal Cardinality Estimation Algorithm	Tino Tereshko and Jordan Tigani	cloud.google.com	2016	cloud.google.com	1	3	54
c4-55	The Road to Composable Data Systems: Thoughts on the Last 15 Years and the Future	Wes McKinney	wesmckinney.com	2023	wesmckinney.com	1	3	55
c4-56	C-Store: A Column-Oriented DBMS	Michael Stonebraker, Daniel J. Abadi and 12 others	31st International Conference on Very Large Data Bases	2005	vldb.org	0	3	56
c4-57	Dremel Made Simple with Parquet	Julien Le Dem	blog.x.com	2013	blog.twitter.com	1	3	57
c4-58	Dremel: Interactive Analysis of Web-Scale Datasets	Sergey Melnik, Andrey Gubarev and 5 others	36th International Conference on Very Large Data Bases	2010	vldb.org	0	3	58
c4-59	Understanding Record Shredding: Storing Nested Data in Columns	Joe Kearney	joekearney.co.uk	2016	joekearney.co.uk	1	3	59
c4-60	A Shallow Survey of OLAP and HTAP Query Engines	Jamie Brandon	scattered-thoughts.net	2023	scattered-thoughts.net	1	3	60
c4-61	The Snowflake Elastic Data Warehouse	Benoit Dageville, Thierry Cruanes and 16 others	ACM International Conference on Management of Data	2016	dl.acm.org	0	3	61
c4-62	Data Management for Data Science Towards Embedded Analytics	Mark Raasveldt and Hannes Mühleisen	10th Conference on Innovative Data Systems Research	2020	duckdb.org	0	3	62
c4-63	Pinot: Realtime OLAP for 530 Million Users	Jean-François Im, Kishore Gopalakrishna and 9 others	ACM International Conference on Management of Data	2018	cwiki.apache.org	0	3	63
c4-64	Druid: A Real-Time Analytical Data Store	Fangjin Yang, Eric Tschetter and 4 others	ACM International Conference on Management of Data	2014	cs-courses.mines.edu	0	3	64
c4-65	Deep Dive into Common Open Formats for Analytical DBMSs	Chunwei Liu, Anna Pavlenko and 2 others	Proceedings of the VLDB Endowment	2023	vldb.org	0	3	65
c4-66	An Empirical Evaluation of Columnar Storage Formats	Xinyu Zeng, Yulong Hui and 4 others	Proceedings of the VLDB Endowment		vldb.org	0	3	66
c4-67	Lance v2: A Columnar Container Format for Modern Data	Weston Pace	blog.lancedb.com	2024	blog.lancedb.com	1	3	67
c4-68	Nimble, A New Columnar File Format	Yoav Helfman	VeloxCon	2024	youtube.com	3	3	68
c4-69	Apache Arrow: High-Performance Columnar Data Framework	Wes McKinney	CMU Database Group—Vaccination Database Tech Talks	2021	youtube.com	3	3	69
c4-70	Python for Data Analysis*, 3rd edition	Wes McKinney		2022	learning.oreilly.com	2	3	70
c4-71	The Design of InfluxDB IOx: An In-Memory Columnar Database Written in Rust with Apache Arrow	Paul Dix	CMU Database Group—Vaccination Database Tech Talks	2021	youtube.com	3	3	71
c4-72	Building Columnar Compression for Large PostgreSQL Databases	Carlota Soto and Mike Freedman	timescale.com	2024	timescale.com	1	3	72
c4-73	The Design and Implementation of Modern Column-Oriented Database Systems	Daniel J. Abadi, Peter Boncz and 3 others	Foundations and Trends in Databases	2013	cs.umd.edu	0	3	73
c4-74	Consistently Faster and Smaller Compressed Bitmaps with Roaring	Daniel Lemire, Gregory Ssi‐Yan‐Kai and Owen Kaser	Software: Practice and Experience	2016	arxiv.org	0	3	74
c4-75	An Entire Social Network in 1.6GB (GraphD Part 2)	Jaz Volpert	jazco.dev	2024	jazco.dev	1	3	75
c4-76	The Vertica Analytic Database: C-Store 7 Years Later	Andrew Lamb, Matt Fuller and 5 others	Proceedings of the VLDB Endowment	2012	vldb.org	0	3	76
c4-77	Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask	Timo Kersten, Viktor Leis and 4 others	Proceedings of the VLDB Endowment	2018	vldb.org	0	3	77
c4-78	Memory Bandwidth Napkin Math	Forrest Smith	forrestthewoods.com	2020	forrestthewoods.com	1	3	78
c4-79	MonetDB/X100: Hyper-Pipelining Query Execution	Peter Boncz, Marcin Zukowski and Niels Nes	2nd Biennial Conference on Innovative Data Systems Research	2005	cidrdb.org	0	3	79
c4-80	Implementing Database Operations Using SIMD Instructions	Jingren Zhou and Kenneth A. Ross	ACM International Conference on Management of Data	2002	www1.cs.columbia.edu	0	3	80
c4-81	OLTP Queries: Transfer Expensive Workloads to Materialize	Kevin Bartley	materialize.com	2024	materialize.com	1	3	81
c4-82	Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals	Jim Gray, Surajit Chaudhuri and 6 others	Data Mining and Knowledge Discovery	2007	arxiv.org	0	3	82
c4-83	Integrating the UB-Tree into a Database System Kernel	Frank Ramsak, Volker Markl and 4 others	26th International Conference on Very Large Data Bases	2000	vldb.org	0	3	83
c4-84	Bkd-Tree: A Dynamic Scalable kd-Tree	Octavian Procopiuc, Pankaj K. Agarwal and 2 others	8th International Symposium on Spatial and Temporal Databases	2003	users.cs.duke.edu	0	3	84
c4-85	Generalized Search Trees for Database Systems	Joseph M. Hellerstein, Jeffrey F. Naughton and Avi Pfeffer	21st International Conference on Very Large Data Bases	1995	dsf.berkeley.edu	0	3	85
c4-86	H3: Uber’s Hexagonal Hierarchical Spatial Index	Isaac Brodsky	eng.uber.com	2018	eng.uber.com	1	3	86
c4-87	HyperDex: A Distributed, Searchable Key-Value Store	Robert Escriva, Bernard Wong and Emin Gün Sirer	ACM SIGCOMM Conference	2012	cs.princeton.edu	0	3	87
c4-88	Introduction to Information Retrieval	Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze	nlp.stanford.edu/IR-book	2008	nlp.stanford.edu	2	3	88
c4-89	An Experimental Study of Bitmap Compression vs. Inverted List Compression	Jianguo Wang, Chunbin Lin and 2 others	ACM International Conference on Management of Data	2017	cseweb.ucsd.edu	0	3	89
c4-90	What Is in a Lucene Index?	Adrien Grand	Lucene/Solr Revolution	2013	speakerdeck.com	0	3	90
c4-91	Visualizing Lucene's Segment Merges	Michael McCandless	blog.mikemccandless.com	2011	blog.mikemccandless.com	1	3	91
c4-92	Understanding Postgres GIN Indexes: The Good and the Bad	Lukas Fittl	pganalyze.com	2021	pganalyze.com	1	3	92
c4-93	The State of (Full) Text Search in PostgreSQL 12	Jimmy Angelakos	FOSDEM	2020	youtube.com	3	3	93
c4-94	Index Support for Regular Expression Search	Alexander Korotkov	PGConf.EU Prague	2012	wiki.postgresql.org	0	3	94
c4-95	Lucene's FuzzyQuery Is 100 Times Faster in 4.0	Michael McCandless	blog.mikemccandless.com	2011	blog.mikemccandless.com	1	3	95
c4-96	Burst Tries: A Fast, Efficient Data Structure for String Keys	Steffen Heinz, Justin Zobel and Hugh E. Williams	ACM Transactions on Information Systems	2002	web.archive.org	0	3	96
c4-97	Fast String Correction with Levenshtein Automata	Klaus U. Schulz and Stoyan Mihov	International Journal on Document Analysis and Recognition	2002	dmice.ohsu.edu	0	3	97
c4-98	Efficient Estimation of Word Representations in Vector Space	Tomas Mikolov, Kai Chen and 2 others	arXiv	2013	arxiv.org	0	3	98
c4-99	BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding	Jacob Devlin, Ming-Wei Chang and 2 others	Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies	2019	arxiv.org	0	3	99
c4-100	Improving Language Understanding by Generative Pre-Training	Alec Radford, Karthik Narasimhan and 2 others	openai.com	2018	cdn.openai.com	1	3	100
c4-101	Faiss Indexes	Matthijs Douze, Maria Lomeli and Lucas Hosseini	github.com	2024	github.com	6	3	101
c4-102	Understanding pgvector's HNSW Index Storage in Postgres	Varik Matevosyan	lantern.dev	2024	lantern.dev	1	3	102
c4-103	Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors	Dmitry Baranchuk, Artem Babenko and Yury Malkov	European Conference on Computer Vision	2018	arxiv.org	0	3	103
c4-104	Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs	Yury A. Malkov and Dmitry A. Yashunin	IEEE Transactions on Pattern Analysis and Machine Intelligence	2020	arxiv.org	0	3	104
c5-1	CWE-502: Deserialization of Untrusted Data		cwe.mitre.org	2006	cwe.mitre.org	1	4	1
c5-2	What Do WebLogic, WebSphere, JBoss, Jenkins, OpenNMS, and Your Application Have in Common? This Vulnerability	Steve Breen	foxglovesecurity.com	2015	foxglovesecurity.com	1	4	2
c5-3	What the Rails Security Issue Means for Your Startup	Patrick McKenzie	kalzumeus.com	2013	kalzumeus.com	1	4	3
c5-4	Towards Better Serialization	Brian Goetz	openjdk.org	2019	openjdk.org	1	4	4
c5-5	jvm-serializers Wiki	Eishay Smith	github.com	2023	github.com	6	4	5
c5-6	XML Is a Poor Copy of S-Expressions		wiki.c2.com	2013	wiki.c2.com	1	4	6
c5-7	Examples of Floating Point Problems	Julia Evans	jvns.ca	2023	jvns.ca	1	4	7
c5-8	Snowflake: An Update and Some Very Important Information	Matt Harris	Twitter Development Talk	2010	groups.google.com	1	4	8
c5-9	RFC 4180: Common Format and MIME Type for Comma-Separated Values (CSV) Files	Yakov Shafranovich		2005	tools.ietf.org	5	4	9
c5-10	Evolving JSON Schemas—Part I	Andy Coates	creekservice.org	2024	creekservice.org	1	4	10
c5-11	Evolving JSON Schemas—Part II	Andy Coates	creekservice.org	2024	creekservice.org	1	4	11
c5-12	Ensuring Query Compatibility with Evolving XML Schemas	Pierre Genevès, Nabil Layaïda and Vincent Quint	arxiv.org	2008	arxiv.org	4	4	12
c5-13	Bits on the Wire	Tim Bray	tbray.org	2019	tbray.org	1	4	13
c5-14	Thrift: Scalable Cross-Language Services Implementation	Mark Slee, Aditya Agarwal and Marc Kwiatkowski		2007	thrift.apache.org	4	4	14
c5-15	Schema Evolution in Avro, Protocol Buffers and Thrift	Martin Kleppmann	martin.kleppmann.com	2012	martin.kleppmann.com	1	4	15
c5-16	[PROPOSAL] New Subproject: Avro	Doug Cutting et al	hadoop-general	2009	lists.apache.org	1	4	16
c5-17	Apache Avro 1.12.0 Specification	Apache Software Foundation	avro.apache.org	2024	avro.apache.org	5	4	17
c5-18	Avro Schemas as LL(1) CFG Definitions	Apache Software Foundation	avro.apache.org	2024	avro.apache.org	5	4	18
c5-19	Null References: The Billion Dollar Mistake	Tony Hoare	QCon London	2009	infoq.com	3	4	19
c5-20	Schema Registry Overview	Confluent, Inc	docs.confluent.io	2024	docs.confluent.io	5	4	20
c5-21	Introducing Espresso—LinkedIn's Hot New Distributed Document Store	Aditya Auradkar and Tom Quiggle	engineering.linkedin.com	2015	engineering.linkedin.com	1	4	21
c5-22	Putting Apache Kafka to Use: A Practical Guide to Building a Stream Data Platform (Part 2)	Jay Kreps	confluent.io	2015	confluent.io	1	4	22
c5-23	The Problem of Managing Schemas	Gwen Shapira	oreilly.com	2014	oreilly.com	1	4	23
c5-24	ASN.1 Complete	John Larmouth		1999	oss.com	2	4	24
c5-25	A Layman's Guide to a Subset of ASN.1, BER, and DER	Burton S. Kaliski Jr		1993	luca.ntop.org	1	4	25
c5-26	A Warm Welcome to ASN.1 and DER	Jacob Hoffman-Andrews	letsencrypt.org	2020	letsencrypt.org	5	4	26
c5-27	Question: Extensibility and Dropping Fields	Lev Walkin	lionet.info	2010	lionet.info	1	4	27
c5-28	Online Migrations at Scale	Jacqueline Xu	stripe.com	2017	stripe.com	1	4	28
c5-29	Project Cambria: Translate Your Data with Lenses	Geoffrey Litt, Peter van Hardenberg and Orion Henry		2020	inkandswitch.com	4	4	29
c5-30	Data on the Outside Versus Data on the Inside	Pat Helland	2nd Biennial Conference on Innovative Data Systems Research	2005	cidrdb.org	0	4	30
c5-31	Architectural Styles and the Design of Network-Based Software Architectures	Roy Thomas Fielding		2000	ics.uci.edu	1	4	31
c5-32	REST APIs Must Be Hypertext-Driven	Roy Thomas Fielding	roy.gbiv.com	2008	roy.gbiv.com	1	4	32
c5-33	OpenAPI Specification Version 3.1.0		swagger.io	2021	swagger.io	1	4	33
c5-34	The Rise and Fall of CORBA	Michi Henning	Communications of the ACM	2008	cacm.acm.org	0	4	34
c5-35	The S Stands for Simple	Pete Lacey	harmful.cat-v.org	2006	harmful.cat-v.org	1	4	35
c5-36	Interview: Pete Lacey Criticizes Web Services	Stefan Tilkov	infoq.com	2006	infoq.com	3	4	36
c5-37	The Loyal WS-Opposition	Tim Bray	tbray.org	2004	tbray.org	1	4	37
c5-38	Implementing Remote Procedure Calls	Andrew D. Birrell and Bruce Jay Nelson	ACM Transactions on Computer Systems	1984	cs.princeton.edu	0	4	38
c5-39	A Note on Distributed Computing	Jim Waldo, Geoff Wyant and 2 others		1994	m.mirror.facebook.net	4	4	39
c5-40	Convenience over Correctness	Steve Vinoski	IEEE Internet Computing	2008	steve.vinoski.net	0	4	40
c5-41	Designing Robust and Predictable APIs with Idempotency	Brandur Leach	stripe.com	2017	stripe.com	1	4	41
c5-42	Load Balancing	Sam Rose	samwho.dev	2023	samwho.dev	1	4	42
c5-43	Your API Versioning Is Wrong, Which Is Why I Decided to Do It 3 Different Wrong Ways	Troy Hunt	troyhunt.com	2014	troyhunt.com	1	4	43
c5-44	APIs As Infrastructure: Future-Proofing Stripe with Versioning	Brandur Leach	stripe.com	2017	stripe.com	1	4	44
c5-45	Web Services Business Process Execution Language Version 2.0	AOASIS Web Services Business Process Execution Language (WSBPEL) Technical Committee	docs.oasis-open.org	2007	docs.oasis-open.org	5	4	45
c5-46	Temporal. Temporal Service		docs.temporal.io	2024	docs.temporal.io	5	4	46
c5-47	Why We Built Restate	Stephan Ewen	restate.dev	2023	restate.dev	1	4	47
c5-48	Understanding Idempotency in Distributed Systems	Keith Tenzer and Joshua Smith	temporal.io	2024	temporal.io	1	4	48
c5-49	Temporal. Temporal Workflow		docs.temporal.io	2024	docs.temporal.io	5	4	49
c5-50	Solving Durable Execution’s Immutability Problem	Jack Kleeman	restate.dev	2024	restate.dev	1	4	50
c5-51	Exploring Event-Driven Architecture: A Beginner's Guide for Cloud Native Developers	Srinath Perera	wso2.com	2023	wso2.com	1	4	51
c5-52	Orleans: Distributed Virtual Actors for Programmability and Scalability	Philip A. Bernstein, Sergey Bykov and 3 others		2014	microsoft.com	4	4	52
c6-1	Notes on Distributed Databases	B. G. Lindsay, P. G. Selinger and 7 others		1979	dominoweb.draco.res.ibm.com	1	5	1
c6-2	MySQL Terminology Updates	Kenny Gryp	dev.mysql.com	2020	dev.mysql.com	1	5	2
c6-3	Oracle (Active) Data Guard 19c: Real-Time Data Protection and Availability	Oracle Corporation	oracle.com	2019	oracle.com	1	5	3
c6-4	What Is an Always On Availability Group?	Microsoft	learn.microsoft.com	2024	learn.microsoft.com	1	5	4
c6-5	Amazon DynamoDB: A Scalable, Predictably Performant, and Fully Managed NoSQL Database Service	Mostafa Elhemali, Niall Gallagher and 13 others	USENIX Annual Technical Conference	2022	usenix.org	0	5	5
c6-6	CockroachDB: The Resilient Geo-Distributed SQL Database	Rebecca Taft, Irfan Sharif and 15 others	ACM SIGMOD International Conference on Management of Data	2020	dl.acm.org	0	5	6
c6-7	TiDB: A Raft-Based HTAP Database	Dongxu Huang, Qi Liu and 20 others	Proceedings of the VLDB Endowment	2020	vldb.org	0	5	7
c6-8	Terminology, Power, and Inclusive Language in Internet-Drafts and RFCs	Mallory Knodel and Niels ten Oever	IETF Internet-Draft	2023	ietf.org	5	5	8
c6-9	Postmortem: VSTS 4 September 2018	Buck Hodges	devblogs.microsoft.com	2018	devblogs.microsoft.com	1	5	9
c6-10	Leader Election with S3 Conditional Writes	Gunnar Morling	www.morling.dev	2024	morling.dev	1	5	10
c6-11	SlateDB Manifest Design	Vignesh Chandramohan, Rohan Desai and Chris Riccomini	github.com	2024	github.com	6	5	11
c6-12	Why Does Neon Use Paxos Instead of Raft, and What’s the Difference?	Stas Kelvich	neon.tech	2022	neon.tech	1	5	12
c6-13	An Introduction to the pg_auto_failover Project	Dimitri Fontaine	tapoueh.org	2021	tapoueh.org	1	5	13
c6-14	GitHub Availability This Week	Jesse Newland	github.blog	2012	github.blog	1	5	14
c6-15	Downtime Last Saturday	Mark Imbriaco	github.blog	2012	github.blog	1	5	15
c6-16	All In’ with Determinism for Performance and Testing in Distributed Systems	John Hugg	Strange Loop	2015	youtube.com	3	5	16
c6-17	The Internals of PostgreSQL	Hironobu Suzuki	interdb.jp	2017	interdb.jp	1	5	17
c6-18	WAL Internals of PostgreSQL	Amit Kapila	PostgreSQL Conference	2012	pgcon.org	0	5	18
c6-19	Evolution of Logical Replication	Amit Kapila	amitkapila16.blogspot.com	2023	amitkapila16.blogspot.com	1	5	19
c6-20	Upgrade Your Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL Database, Part 2: Using the pglogical Extension	Aru Petchimuthu	aws.amazon.com	2021	aws.amazon.com	1	5	20
c6-21	Wormhole: Reliable Pub-Sub to Support Geo-Replicated Internet Services	Yogeshwer Sharma, Philippe Ajoux and 20 others	12th USENIX Symposium on Networked Systems Design and Implementation	2015	usenix.org	0	5	21
c6-22	Replicated Data Consistency Explained Through Baseball	Douglas B. Terry		2011	microsoft.com	4	5	22
c6-23	Session Guarantees for Weakly Consistent Replicated Data	Douglas B. Terry, Alan J. Demers and 4 others	3rd International Conference on Parallel and Distributed Information Systems	1994	csis.pace.edu	0	5	23
c6-24	Eventually Consistent	Werner Vogels	ACM Queue	2008	queue.acm.org	0	5	24
c6-25	Reply to: “My thoughts about Fly.io (so far) and other newish technology I’m getting into	Simon Willison	news.ycombinator.com	2022	news.ycombinator.com	1	5	25
c6-26	Scaling Bitbucket’s Database	Nithin Tharakan	atlassian.com	2020	atlassian.com	1	5	26
c6-27	Reaper Man: A Discworld Novel	Terry Pratchett		1991		2	5	27
c6-28	Coordination Avoidance in Database Systems	Peter Bailis, Alan Fekete and 4 others	Proceedings of the VLDB Endowment	2014	vldb.org	0	5	28
c6-29	PostgreSQL Bi-Directional Replication Using pglogical	Yaser Raja and Peter Celentano	aws.amazon.com	2022	aws.amazon.com	1	5	29
c6-30	If You *Must* Deploy Multi-Master Replication, Read This First	Robert Hodges	scale-out-blog.blogspot.com	2012	scale-out-blog.blogspot.com	1	5	30
c6-31	HBASE-7709: Infinite Loop Possible in Master/Master Replication	Lars Hofhansl	issues.apache.org	2013	issues.apache.org	1	5	31
c6-32	What’s Different About the New Google Docs: Making Collaboration Fast	John Day-Richter	drive.googleblog.com	2010	drive.googleblog.com	1	5	32
c6-33	How Figma’s Multiplayer Technology Works	Evan Wallace	figma.com	2019	figma.com	1	5	33
c6-34	Scaling the Linear Sync Engine	Tuomas Artman	linear.app	2023	linear.app	1	5	34
c6-35	Why Sync Engines Might Be the Future of Web Applications	Amr Saafan	nilebits.com	2024	nilebits.com	1	5	35
c6-36	Are Sync Engines the Future of Web Applications?	Isaac Hagoel	dev.to	2024	dev.to	1	5	36
c6-37	A Map of Sync	Sujay Jayakar	stack.convex.dev	2024	stack.convex.dev	1	5	37
c6-38	Designing Offline-First Web Apps	Alex Feyerke	alistapart.com	2013	alistapart.com	1	5	38
c6-39	Local-First Software: You Own Your Data, in Spite of the Cloud	Martin Kleppmann, Adam Wiggins and 2 others	ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software	2019	inkandswitch.com	0	5	39
c6-40	The Past, Present, and Future of Local-First	Martin Kleppmann	Local-First Conference	2024	martin.kleppmann.com	0	5	40
c6-41	API Calling Is to Sync Engines as jQuery Is to React	Conrad Hofmeyr	powersync.com	2024	powersync.com	1	5	41
c6-42	PushPin: Towards Production-Quality Peer-to-Peer Collaboration	Peter van Hardenberg and Martin Kleppmann	7th Workshop on Principles and Practice of Consistency for Distributed Data	2020	martin.kleppmann.com	0	5	42
c6-43	Replicated Document Management in a Group Communication System	Leonard Kawell, Jr, Steven Beckhardt and 3 others	ACM Conference on Computer-Supported Cooperative Work	1988	dl.acm.org	0	5	43
c6-44	Explaining How Fighting Games Use Delay-Based and Rollback Netcode	Ricky Pusch	words.infil.net	2019	words.infil.net	1	5	44
c6-45	Dynamo: Amazon's Highly Available Key-Value Store	Giuseppe DeCandia, Deniz Hastorun and 7 others	21st ACM Symposium on Operating Systems Principles	2007	allthingsdistributed.com	0	5	45
c6-46	Conflict-Free Replicated Data Types	Marc Shapiro, Nuno Preguiça and 2 others	13th International Symposium on Stabilization, Safety, and Security of Distributed Systems	2011	inria.hal.science	0	5	46
c6-47	Operational Transformation in Real-Time Group Editors: Issues, Algorithms, and Achievements	Chengzheng Sun and Clarence Ellis	ACM Conference on Computer Supported Cooperative Work	1998	citeseerx.ist.psu.edu	0	5	47
c6-48	Collaborative Text Editing with Eg-walker: Better, Faster, Smaller	Joseph Gentle and Martin Kleppmann	20th European Conference on Computer Systems	2025	arxiv.org	0	5	48
c6-49	Azure Cosmos DB: Pushing the Frontier of Globally Distributed Databases	Dharma Shukla	azure.microsoft.com	2018	azure.microsoft.com	1	5	49
c6-50	Eventual // Consistency – Detecting Conflicts	Frazer Clement. //	messagepassing.blogspot.com	2011	messagepassing.blogspot.com	1	5	50
c6-51	Weighted Voting for Replicated Data	David K. Gifford	7th ACM Symposium on Operating Systems Principles	1979	cs.cmu.edu	0	5	51
c6-52	Dynamo, DynamoDB, and Aurora DSQL	Marc Brooker	brooker.co.za	2025	brooker.co.za	1	5	52
c6-53	Flexible Paxos: Quorum Intersection Revisited	Heidi Howard, Dahlia Malkhi and Alexander Spiegelman	20th International Conference on Principles of Distributed Systems	2016	drops.dagstuhl.de	0	5	53
c6-54	Bringing Consistency to Riak	Joseph Blomstedt	RICON West	2012	archive.org	0	5	54
c6-55	Quantifying Eventual Consistency with PBS	Peter Bailis, Shivaram Venkataraman and 3 others	The VLDB Journal	2014	bailis.org	0	5	55
c6-56	Shared-Nothing Architectures for Server Replication and Synchronization	Colin Breck	blog.colinbreck.com	2019	blog.colinbreck.com	1	5	56
c6-57	The Tail at Scale	Jeffrey Dean and Luiz André Barroso	Communications of the ACM	2013	cacm.acm.org	0	5	57
c6-58	Gray Failure: The Achilles' Heel of Cloud-Scale Systems	Peng Huang, Chuanxiong Guo and 5 others	16th Workshop on Hot Topics in Operating Systems	2017	microsoft.com	0	5	58
c6-59	Time, Clocks, and the Ordering of Events in a Distributed System	Leslie Lamport	Communications of the ACM	1978	microsoft.com	0	5	59
c6-60	Detection of Mutual Inconsistency in Distributed Systems	D. Stott Parker Jr, Gerald J. Popek and 8 others	IEEE Transactions on Software Engineering	1983	pages.cs.wisc.edu	0	5	60
c6-61	Dotted Version Vectors: Logical Clocks for Optimistic Replication	Nuno Preguiça, Carlos Baquero and 3 others	arXiv	2010	arxiv.org	0	5	61
c6-62	Clocks and Causality—Ordering Events in Distributed Systems	Giridhar Manepalli	exhypothesi.com	2022	exhypothesi.com	1	5	62
c6-63	A Brief History of Time in Riak	Sean Cribbs	RICON	2014	speakerdeck.com	0	5	63
c6-64	Vector Clocks Revisited Part 2: Dotted Version Vectors	Russell Brown	riak.com	2015	riak.com	1	5	64
c6-65	Version Vectors Are Not Vector Clocks	Carlos Baquero	haslab.wordpress.com	2011	haslab.wordpress.com	1	5	65
c6-66	Detecting Causal Relationships in Distributed Computations: In Search of the Holy Grail	Reinhard Schwarz and Friedemann Mattern	Distributed Computing	1994	disco.ethz.ch	0	5	66
c7-1	Understanding Partitioning and Sharding in Postgres and Citus	Claire Giordano	citusdata.com	2023	citusdata.com	1	6	1
c7-2	Partitioning in Postgres, 2022 Edition	Brandur Leach	brandur.org	2022	brandur.org	1	6	2
c7-3	Database 'Sharding' Came from UO?	Raph Koster	raphkoster.com	2009	raphkoster.com	1	6	3
c7-4	Herding Elephants: Lessons Learned from Sharding Postgres at Notion	Garrett Fidalgo	notion.com	2021	notion.com	1	6	4
c7-5	What Every Programmer Should Know About Memory	Ulrich Drepper	akkadia.org	2007	akkadia.org	1	6	5
c7-6	FoundationDB: A Distributed Unbundled Transactional Key Value Store	Jingyu Zhou, Meng Xu and 19 others	ACM International Conference on Management of Data	2021	foundationdb.org	0	6	6
c7-7	Citus 12: Schema-Based Sharding for PostgreSQL	Marco Slot	citusdata.com	2023	citusdata.com	1	6	7
c7-8	Reducing the Scope of Impact with Cell-Based Architecture	Robisson Oliveira		2023	docs.aws.amazon.com	5	6	8
c7-9	Things DBs Don't Do—But Should	Gwen Shapira	thenile.dev	2023	thenile.dev	1	6	9
c7-10	Position: GDPR Compliance by Construction	Malte Schwarzkopf, Eddie Kohler and 2 others	Towards Polystores That Manage Multiple Databases, Privacy, Security and/or Policy Issues for Heterogenous Data	2019	cs.brown.edu	0	6	10
c7-11	Introducing pg_karnak: Transactional Schema Migration Across Tenant Databases	Gwen Shapira	thenile.dev	2024	thenile.dev	1	6	11
c7-12	Scaling Datastores at Slack with Vitess	Arka Ganguli, Guido Iaquinti and 2 others	slack.engineering	2020	slack.engineering	1	6	12
c7-13	App Engine Datastore Tip: Monotonically Increasing Values Are Bad	Ikai Lan	ikaisays.com	2011	ikaisays.com	1	6	13
c7-14	Apache HBase Region Splitting and Merging	Enis Soztutar	cloudera.com	2013	cloudera.com	1	6	14
c7-15	Rethinking Topology in Cassandra	Eric Evans	Cassandra Summit	2013	youtube.com	3	6	15
c7-16	Java's hashCode Is Not Safe for Distributed Systems	Martin Kleppmann	martin.kleppmann.com	2012	martin.kleppmann.com	1	6	16
c7-17	Amazon DynamoDB: A Scalable, Predictably Performant, and Fully Managed NoSQL Database Service	Mostafa Elhemali, Niall Gallagher and 13 others	USENIX Annual Technical Conference	2022	usenix.org	0	6	17
c7-18	Consistent Hashing and Random Trees: Distributed Caching Protocols for Relieving Hot Spots on the World Wide Web	David Karger, Eric Lehman and 4 others	29th Annual ACM Symposium on Theory of Computing	1997	people.csail.mit.edu	0	6	18
c7-19	Consistent Hashing: Algorithmic Tradeoffs	Damian Gryski	dgryski.medium.com	2018	dgryski.medium.com	1	6	19
c7-20	Using Name-Based Mappings to Increase Hit Rates	David G. Thaler and Chinya V. Ravishankar	IEEE/ACM Transactions on Networking	1998	cs.kent.edu	0	6	20
c7-21	A Fast, Minimal Memory, Consistent Hash Algorithm	John Lamping and Eric Veach	arXiv	2014	arxiv.org	0	6	21
c7-22	3% of Twitter's Servers Dedicated to Justin Bieber	Samuel Axon	mashable.com	2010	mashable.com	1	6	22
c7-23	Scaling Services with Shard Manager	Gerald Guo and Thawan Kooburat	engineering.fb.com	2020	engineering.fb.com	1	6	23
c7-24	Shard Manager: A Generic Shard Management Framework for Geo-Distributed Applications	Sangmin Lee, Zhenhua Guo and 13 others	28th ACM SIGOPS Symposium on Operating Systems Principles	2021	dl.acm.org	0	6	24
c7-25	A Critique of Resizable Hash Tables: Riak Core & Random Slicing	Scott Lystig Fritchie	infoq.com	2018	infoq.com	3	6	25
c7-26	Building and Operating a Pretty Big Storage System Called S3	Andy Warfield	allthingsdistributed.com	2023	allthingsdistributed.com	1	6	26
c7-27	DynamoDB Adaptive Capacity: Smooth Performance for Chaotic Workloads (DAT327)	Rich Houlihan	AWS re:Invent	2017	youtube.com	3	6	27
c7-28	ScyllaDB’s Safe Topology and Schema Changes on Raft	Kostja Osipov	scylladb.com		scylladb.com	1	6	28
c7-29	Introduction to Information Retrieval	Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze	nlp.stanford.edu/IR-book	2008	nlp.stanford.edu	2	6	29
c7-30	Earlybird: Real-Time Search at Twitter	Michael Busch, Krishna Gade and 4 others	28th IEEE International Conference on Data Engineering	2012	cs.uwaterloo.ca	0	6	30
c7-31	Indexing in Cassandra 3	Nadav Har'El	github.com	2017	github.com	6	6	31
c7-32	Customizing Your Document Routing	Zachary Tong	elastic.co	2013	elastic.co	1	6	32
c7-33	H-Store Documentation: Frequently Asked Questions	Andrew Pavlo	hstore.cs.brown.edu	2013	hstore.cs.brown.edu	5	6	33
c8-1	What Went Wrong with Horizon: Learning from the Post Office Trial	Steven J. Murdoch	benthamsgaze.org	2021	benthamsgaze.org	1	7	1
c8-2	A History and Evaluation of System R	Donald D. Chamberlin, Morton M. Astrahan and 14 others	Communications of the ACM	1981	dsf.berkeley.edu	0	7	2
c8-3	Granularity of Locks and Degrees of Consistency in a Shared Data Base	Jim N. Gray, Raymond A. Lorie and 2 others	Modelling in Data Base Management Systems: Proceedings of the IFIP Working Conference on Modelling in Data Base Management Systems	2005	citeseerx.ist.psu.edu	2	7	3
c8-4	CockroachDB: The Resilient Geo-Distributed SQL Database	Rebecca Taft, Irfan Sharif and 15 others	ACM SIGMOD International Conference on Management of Data	2020	dl.acm.org	0	7	4
c8-5	TiDB: A Raft-Based HTAP Database	Dongxu Huang, Qi Liu and 20 others	Proceedings of the VLDB Endowment	2020	vldb.org	0	7	5
c8-6	Spanner: Google’s Globally-Distributed Database		10th USENIX Symposium on Operating System Design and Implementation	2012	research.google	0	7	6
c8-7	FoundationDB: A Distributed Unbundled Transactional Key Value Store	Jingyu Zhou, Meng Xu and 19 others	ACM International Conference on Management of Data	2021	foundationdb.org	0	7	7
c8-8	Principles of Transaction-Oriented Database Recovery	Theo Härder and Andreas Reuter	ACM Computing Surveys	1983	citeseerx.ist.psu.edu	0	7	8
c8-9	HAT, not CAP: Towards Highly Available Transactions	Peter Bailis, Alan Fekete and 3 others	14th USENIX Workshop on Hot Topics in Operating Systems	2013	usenix.org	0	7	9
c8-10	Cluster-Based Scalable Network Services	Armando Fox, Steven D. Gribble and 3 others	16th ACM Symposium on Operating Systems Principles	1997	people.eecs.berkeley.edu	0	7	10
c8-11	Enforcing Complex Constraints in Oracle	Tony Andrews	tonyandrews.blogspot.co.uk	2004	tonyandrews.blogspot.com	1	7	11
c8-12	Concurrency Control and Recovery in Database Systems	Philip A. Bernstein, Vassos Hadzilacos and Nathan Goodman	microsoft.com	1987	microsoft.com	2	7	12
c8-13	Making Snapshot Isolation Serializable	Alan Fekete, Dimitrios Liarokapis and 3 others	ACM Transactions on Database Systems	2005	cse.iitb.ac.in	0	7	13
c8-14	Understanding the Robustness of SSDs Under Power Fault	Mai Zheng, Joseph Tucek and 2 others	11th USENIX Conference on File and Storage Technologies	2013	usenix.org	0	7	14
c8-15	SSDs: A Gift and a Curse	Laurie Denness	laur.ie	2015	laur.ie	1	7	15
c8-16	When Solid State Drives Are Not That Solid	Adam Surak	blog.algolia.com	2015	algolia.com	1	7	16
c8-17	Bulletin: (Revision) HPE SAS Solid State Drives—Critical Firmware Upgrade Required for Certain HPE SAS Solid State Drive Models to Prevent Drive Failure at 32,768 Hours of Operation	Hewlett Packard Enterprise	support.hpe.com	2019	support.hpe.com	1	7	17
c8-18	PostgreSQL's Handling of fsync() Errors Is Unsafe and Risks Data Loss at Least on XFS	Craig Ringer et al	pgsql-hackers	2018	postgresql.org	1	7	18
c8-19	Can Applications Recover from fsync Failures?	Anthony Rebello, Yuvraj Patel and 3 others	USENIX Annual Technical Conference	2020	usenix.org	0	7	19
c8-20	Crash Consistency: Rethinking the Fundamental Abstractions of the File System	Thanumalayan Sankaranarayana Pillai, Vijay Chidambaram and 4 others	ACM Queue	2015	dl.acm.org	0	7	20
c8-21	All File Systems Are Not Created Equal: On the Complexity of Crafting Crash-Consistent Applications	Thanumalayan Sankaranarayana Pillai, Vijay Chidambaram and 4 others	11th USENIX Symposium on Operating Systems Design and Implementation	2014	usenix.org	0	7	21
c8-22	Unix's File Durability Problem	Chris Siebenmann	utcc.utoronto.ca	2016	utcc.utoronto.ca	1	7	22
c8-23	Redundancy Does Not Imply Fault Tolerance: Analysis of Distributed Storage Reactions to Single Errors and Corruptions	Aishwarya Ganesan, Ramnatthan Alagappan and 2 others	15th USENIX Conference on File and Storage Technologies	2017	usenix.org	0	7	23
c8-24	An Analysis of Data Corruption in the Storage Stack	Lakshmi N. Bairavasundaram, Garth R. Goodson and 3 others	6th USENIX Conference on File and Storage Technologies	2008	usenix.org	0	7	24
c8-25	How We Discovered, and Recovered from, Postgres Corruption on the matrix.org Homeserver	Richard van der Hoff	matrix.org	2025	matrix.org	1	7	25
c8-26	Flash Reliability in Production: The Expected and the Unexpected	Bianca Schroeder, Raghav Lagisetty and Arif Merchant	14th USENIX Conference on File and Storage Technologies	2016	usenix.org	0	7	26
c8-27	SSD Storage—Ignorance of Technology Is No Excuse	Don Allison	blog.korelogic.com	2015	blog.korelogic.com	1	7	27
c8-28	Debunked: Your SSD Won’T Lose Data If Left Unplugged After All	Gordon Mah Ung	pcworld.com	2015	pcworld.com	1	7	28
c8-29	Hermitage: Testing the 'I' in ACID	Martin Kleppmann	martin.kleppmann.com	2014	martin.kleppmann.com	1	7	29
c8-30	The Race Condition That Led to Flexcoin Bankruptcy	Vlad Mihalcea	vladmihalcea.com	2025	vladmihalcea.com	1	7	30
c8-31	ACIDRain: Concurrency-Related Attacks on Database-Backed Web Applications	Todd Warszawski and Peter Bailis	ACM International Conference on Management of Data	2017	bailis.org	0	7	31
c8-32	BTC Stolen from Poloniex	Tristan D'Agosta	bitcointalk.org	2014	bitcointalk.org	1	7	32
c8-33	How I Stole Roughly 100 BTC from an Exchange and How I Could Have Stolen More!	bitcointhief2	reddit.com	2014	reddit.com	1	7	33
c8-34	Automating the Detection of Snapshot Isolation Anomalies	Sudhir Jorwekar, Alan Fekete and 2 others	33rd International Conference on Very Large Data Bases	2007	vldb.org	0	7	34
c8-35	Transactions: The Limits of Isolation	Michael Melanson	michaelmelanson.net	2014	michaelmelanson.net	1	7	35
c8-36	How ACH Works: A Developer Perspective—Part 1	Edward Kim	engineering.gusto.com	2014	engineering.gusto.com	1	7	36
c8-37	A Critique of ANSI SQL Isolation Levels	Hal Berenson, Philip A. Bernstein and 4 others	ACM International Conference on Management of Data	1995	microsoft.com	0	7	37
c8-38	Weak Consistency: A Generalized Theory and Optimistic Implementations for Distributed Transactions	Atul Adya		1999	pmg.csail.mit.edu	1	7	38
c8-39	Highly Available Transactions: Virtues and Limitations	Peter Bailis, Aaron Davidson and 4 others	Proceedings of the VLDB Endowment	2013	vldb.org	0	7	39
c8-40	Seeing Is Believing: A Client-Centric Specification of Database Isolation	Natacha Crooks, Youer Pu and 2 others	ACM Symposium on Principles of Distributed Computing	2017	cs.cornell.edu	0	7	40
c8-41	MVCC Unmasked	Bruce Momjian	momjian.us	2014	momjian.us	1	7	41
c8-42	MySQL 8.0.34	Peter Alvaro and Kyle Kingsbury	jepsen.io	2023	jepsen.io	1	7	42
c8-43	PostgreSQL 14 Internals	Egor Rogov		2023	postgrespro.com	2	7	43
c8-44	The Internals of PostgreSQL	Hironobu Suzuki	interdb.jp	2017	interdb.jp	1	7	44
c8-45	Internals of MVCC in Postgres: Hidden Costs of Updates vs Inserts	Rohan Reddy Alleti	medium.com	2025	medium.com	1	7	45
c8-46	The Part of PostgreSQL We Hate the Most	Andy Pavlo and Bohan Zhang	cs.cmu.edu	2023	cs.cmu.edu	1	7	46
c8-47	An Empirical Evaluation of In-Memory Multi-Version Concurrency Control	Yingjun Wu, Joy Arulraj and 3 others	Proceedings of the VLDB Endowment	2017	vldb.org	0	7	47
c8-48	Unofficial Guide to Datomic Internals	Nikita Prokopov	tonsky.me	2014	tonsky.me	1	7	48
c8-49	A Practical Guide to Taming Postgres Isolation Anomalies	Daniil Svetlov	dansvetlov.me	2025	dansvetlov.me	1	7	49
c8-50	An Atomic Rant	Nate Wiger	nateware.com	2010	nateware.com	1	7	50
c8-51	Reading and Writing, Part 3: Web Applications	James Coglan	blog.jcoglan.com	2020	blog.jcoglan.com	1	7	51
c8-52	Feral Concurrency Control: An Empirical Investigation of Modern Application Integrity	Peter Bailis, Alan Fekete and 4 others	ACM International Conference on Management of Data	2015	bailis.org	0	7	52
c8-53	Things I Wished More Developers Knew About Databases	Jaana Dogan	rakyll.medium.com	2020	rakyll.medium.com	1	7	53
c8-54	Serializable Isolation for Snapshot Databases	Michael J. Cahill, Uwe Röhm and Alan Fekete	ACM International Conference on Management of Data	2008	cs.cornell.edu	0	7	54
c8-55	Serializable Snapshot Isolation in PostgreSQL	Dan R. K. Ports and Kevin Grittner	Proceedings of the VLDB Endowment	2012	drkp.net	0	7	55
c8-56	Managing Update Conflicts in Bayou, a Weakly Connected Replicated Storage System	Douglas B. Terry, Marvin M. Theimer and 4 others	15th ACM Symposium on Operating Systems Principles	1995	pdos.csail.mit.edu	0	7	56
c8-57	Constraints over Multiple Rows in PostgreSQL	Hans-Jürgen Schönig	cybertec-postgresql.com	2021	cybertec-postgresql.com	1	7	57
c8-58	The End of an Architectural Era (It’s Time for a Complete Rewrite)	Michael Stonebraker, Samuel Madden and 4 others	33rd International Conference on Very Large Data Bases	2007	vldb.org	0	7	58
c8-59	H-Store/VoltDB Architecture vs. CEP Systems and Newer Streaming Architectures	John Hugg	Data @Scale Boston	2014	youtube.com	3	7	59
c8-60	H-Store: A High-Performance, Distributed Main Memory Transaction Processing System	Robert Kallman, Hideaki Kimura and 10 others	Proceedings of the VLDB Endowment	2008	vldb.org	0	7	60
c8-61	The Architecture of Datomic	Rich Hickey	infoq.com	2012	infoq.com	3	7	61
c8-62	Debunking Myths About the VoltDB In-Memory Database	John Hugg	dzone.com	2014	dzone.com	1	7	62
c8-63	Lotus: Scalable Multi-Partition Transactions On Single-Threaded Partitioned Databases	Xinjing Zhou, Xiangyao Yu and 2 others	Proceedings of the VLDB Endowment	2022	vldb.org	0	7	63
c8-64	Architecture of a Database System	Joseph M. Hellerstein, Michael Stonebraker and James Hamilton	Foundations and Trends in Databases	2007	dsf.berkeley.edu	0	7	64
c8-65	Serializable Isolation for Snapshot Databases	Michael J. Cahill		2009	ses.library.usyd.edu.au	1	7	65
c8-66	Hekaton: SQL Server's Memory-Optimized OLTP Engine	Cristian Diaconu, Craig Freedman and 6 others	ACM SIGMOD International Conference on Management of Data	2013	microsoft.com	0	7	66
c8-67	Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems	Thomas Neumann, Tobias Mühlbauer and Alfons Kemper	ACM SIGMOD International Conference on Management of Data	2015	db.in.tum.de	0	7	67
c8-68	Correctness of Concurrency Control and Implications in Distributed Databases	D. Z. Badal	3rd International IEEE Computer Software and Applications Conference	1979	ieeexplore.ieee.org	0	7	68
c8-69	Concurrency Control Performance Modeling: Alternatives and Implications	Rakesh Agrawal, Michael J. Carey and Miron Livny	ACM Transactions on Database Systems	1987	people.eecs.berkeley.edu	0	7	69
c8-70	Snapshot Isolation vs. Serializability	Marc Brooker	brooker.co.za	2024	brooker.co.za	1	7	70
c8-71	Notes on Distributed Databases	B. G. Lindsay, P. G. Selinger and 7 others		1979	dominoweb.draco.res.ibm.com	1	7	71
c8-72	Transaction Management in the R* Distributed Database Management System	C. Mohan, Bruce G. Lindsay and Ron Obermarck	ACM Transactions on Database Systems	1986	cs.brown.edu	0	7	72
c8-73	Distributed Transaction Processing: The XA Specification	X/Open Company Ltd		1991	pubs.opengroup.org	2	7	73
c8-74	Lessons Learned from Implementing WS-Coordination and WS-AtomicTransaction	Ivan Silva Neto and Francisco Reverbel	7th IEEE/ACIS International Conference on Computer and Information Science	2008	ime.usp.br	0	7	74
c8-75	Formal Specification of a Web Services Protocol	James E. Johnson, David E. Langworthy and 2 others	1st International Workshop on Web Services and Formal Methods	2004	microsoft.com	0	7	75
c8-76	The Transaction Concept: Virtues and Limitations	Jim Gray	7th International Conference on Very Large Data Bases	1981	jimgray.azurewebsites.net	0	7	76
c8-77	Nonblocking Commit Protocols	Dale Skeen	ACM International Conference on Management of Data	1981	cs.utexas.edu	0	7	77
c8-78	Your Coffee Shop Doesn’t Use Two-Phase Commit	Gregor Hohpe	IEEE Software	2005	martinfowler.com	0	7	78
c8-79	Life Beyond Distributed Transactions: An Apostate’s Opinion	Pat Helland	3rd Biennial Conference on Innovative Data Systems Research	2007	cidrdb.org	0	7	79
c8-80	My Beef with MSDTC and Two-Phase Commits	Jonathan Oliver	blog.jonathanoliver.com	2011	blog.jonathanoliver.com	1	7	80
c8-81	The Fallacy of Distributed Transactions	Oren Eini (Ahende Rahien)	ayende.com	2014	ayende.com	1	7	81
c8-82	Transactions in Windows Azure (with Service Bus)—An Email Discussion	Clemens Vasters	learn.microsoft.com	2012	learn.microsoft.com	1	7	82
c8-83	Orphaned MSDTC Transactions (-2 spids)	Ajmer Dhariwal	eraofdata.com	2008	eraofdata.com	1	7	83
c8-84	Real World Story of DBCC PAGE Saving the Day	Paul Randal	sqlskills.com	2013	sqlskills.com	1	7	84
c8-85	Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka	Guozhang Wang, Lei Chen and 10 others	ACM International Conference on Management of Data	2021	dl.acm.org	0	7	85
c9-1	There’s Just No Getting Around It: You’re Building a Distributed System	Mark Cavage	ACM Queue	2013	queue.acm.org	0	8	1
c9-2	Getting Real About Distributed System Reliability	Jay Kreps	blog.empathybox.com	2012	blog.empathybox.com	1	8	2
c9-3	You Can’t Sacrifice Partition Tolerance	Coda Hale	codahale.com	2010	perma.cc	1	8	3
c9-4	Notes on Distributed Systems for Young Bloods	Jeff Hodges	somethingsimilar.com	2013	somethingsimilar.com	1	8	4
c9-5	Congestion Avoidance and Control	Van Jacobson	ACM Symposium on Communications Architectures and Protocols	1988	cs.usask.ca	0	8	5
c9-6	The Ultimate SO_LINGER Page, or: Why Is My TCP Not Reliable	Bert Hubert	blog.netherlabs.nl	2009	blog.netherlabs.nl	1	8	6
c9-7	End-To-End Arguments in System Design	Jerome H. Saltzer, David P. Reed and David D. Clark	ACM Transactions on Computer Systems	1984	groups.csail.mit.edu	0	8	7
c9-8	The Network Is Reliable	Peter Bailis and Kyle Kingsbury	ACM Queue	2014	queue.acm.org	0	8	8
c9-9	Taming Uncertainty in Distributed Systems with Help from the Network	Joshua B. Leners, Trinabh Gupta and 2 others	10th European Conference on Computer Systems	2015	cs.nyu.edu	0	8	9
c9-10	Understanding Network Failures in Data Centers: Measurement, Analysis, and Implications	Phillipa Gill, Navendu Jain and Nachiappan Nagappan	ACM SIGCOMM Conference	2011	conferences.sigcomm.org	0	8	10
c9-11	But recently a farmer had started grazing a herd of cows nearby. And whenever they stepped on the fiber link, they bent it enough to cause a blip	Urs Hölzle	x.com	2020	x.com	1	8	11
c9-12	Hundreds Lose Internet Service in Northern B.C. After Beaver Chews Through Cable	CBC News	cbc.ca	2021	cbc.ca	1	8	12
c9-13	The Global Internet Is Being Attacked by Sharks, Google Confirms	Will Oremus	slate.com	2014	slate.com	1	8	13
c9-14	Down to the Wire: The Ship Fixing Our Internet	Jess Auerbach Jahajeeah	continent.substack.com	2023	continent.substack.com	1	8	14
c9-15	More Details About the October 4 Outage	Santosh Janardhan	engineering.fb.com	2021	engineering.fb.com	1	8	15
c9-16	Georgian Woman Cuts off Web Access to Whole of Armenia	Tom Parfitt	theguardian.com	2011	theguardian.com	1	8	16
c9-17	Shadow Fleets’ and Subaquatic Sabotage: Are Europe’s Undersea Internet Cables Under Attack?	Antonio Voce, Tural Ahmedzade and Ashley Kirk	theguardian.com	2025	theguardian.com	1	8	17
c9-18	XFT: Practical Fault Tolerance Beyond Crashes	Shengyun Liu, Paolo Viotti and 3 others	12th USENIX Symposium on Operating Systems Design and Implementation	2016	usenix.org	0	8	18
c9-19	Downtime Last Saturday	Mark Imbriaco	github.blog	2012	github.blog	1	8	19
c9-20	A Byzantine Failure in the Real World	Tom Lianza and Chris Snook	blog.cloudflare.com	2020	blog.cloudflare.com	1	8	20
c9-21	Toward a Generic Fault Tolerance Technique for Partial Network Partitioning	Mohammed Alfatafta, Basil Alkhatib and 2 others	14th USENIX Symposium on Operating Systems Design and Implementation	2020	usenix.org	0	8	21
c9-22	Re: bnx2 Cards Intermittantly Going Offline	Marc A. Donges	netdev	2012	spinics.net	1	8	22
c9-23	Inside a CODE RED: Network Edition	Troy Toman	signalvnoise.com	2020	signalvnoise.com	1	8	23
c9-24	Jepsen: Elasticsearch	Kyle Kingsbury	aphyr.com	2014	aphyr.com	1	8	24
c9-25	A Few Arguments About Redis Sentinel Properties and Fail Scenarios	Salvatore Sanfilippo	antirez.com	2014	antirez.com	1	8	25
c9-26	CAP: If All You Have Is a Timeout, Everything Looks Like a Partition	Nicolas Liochon	blog.thislongrun.com	2015	blog.thislongrun.com	1	8	26
c9-27	Queues Don’t Matter When You Can JUMP Them!	Matthew P. Grosvenor, Malte Schwarzkopf and 5 others	12th USENIX Symposium on Networked Systems Design and Implementation	2015	usenix.org	0	8	27
c9-28	Debugging Network Stalls on Kubernetes	Theo Julienne	github.blog	2019	github.blog	1	8	28
c9-29	The Impact of Virtualization on Network Performance of Amazon EC2 Data Center	Guohui Wang and T. S. Eugene Ng	29th IEEE International Conference on Computer Communications	2010	cs.rice.edu	0	8	29
c9-30	etcd: Distributed Locking and Service Discovery	Brandon Philips	Strange Loop	2014	youtube.com	3	8	30
c9-31	A Systematic Look at EC2 I/O	Steve Newman	blog.scalyr.com	2012	sentinelone.com	1	8	31
c9-32	The ϕ Accrual Failure Detector	Naohiro Hayashibara, Xavier Défago and 2 others		2004	hdl.handle.net	4	8	32
c9-33	Phi Accrual Failure Detector	Jeffrey Wang	ternarysearch.blogspot.co.uk	2013	ternarysearch.blogspot.com	1	8	33
c9-34	An Engineering Approach to Computer Networking: ATM Networks, the Internet, and the Telephone Network	Srinivasan Keshav		1997		2	8	34
c9-35	ATM Networks	Othmar Kyas		1995		2	8	35
c9-36	Tales of the Tail: Hardware, OS, and Application-level Sources of Tail Latency	Jialin Li, Naveen Kr. Sharma and 2 others	ACM Symposium on Cloud Computing	2014	syslab.cs.washington.edu	0	8	36
c9-37	InfiniBand FAQ, Rev 1.3	Mellanox Technologies	network.nvidia.com	2014	network.nvidia.com	4	8	37
c9-38	End-to-End Congestion Control for InfiniBand	Jose Renato Santos, Yoshio Turner and G. (John) Janakiraman	22nd Annual Joint Conference of the IEEE Computer and Communications Societies	2003	infocom2003.ieee-infocom.org	0	8	38
c9-39	The NTP FAQ and HOWTO	Ulrich Windl, David Dalton and 2 others	ntp.org	2006	ntp.org	1	8	39
c9-40	How and Why the Leap Second Affected Cloudflare DNS	John Graham-Cumming	blog.cloudflare.com	2017	blog.cloudflare.com	1	8	40
c9-41	Inside the Hotspot VM: Clocks, Timers and Scheduling Events—Part I—Windows	David Holmes	blogs.oracle.com	2006	web.archive.org	1	8	41
c9-42	Three Clocks Are Better than One	Joran Dirk Greef	tigerbeetle.com	2021	tigerbeetle.com	1	8	42
c9-43	Pitfalls of TSC Usage	Oliver Yang	oliveryang.net	2015	oliveryang.net	1	8	43
c9-44	Time on Multi-Core, Multi-Socket Servers	Steve Loughran	steveloughran.blogspot.co.uk	2015	steveloughran.blogspot.com	1	8	44
c9-45	Spanner: Google’s Globally-Distributed Database		10th USENIX Symposium on Operating System Design and Implementation	2012	research.google	0	8	45
c9-46	How Closely Can a Personal Computer Clock Track the UTC Timescale Via the Internet?	M. Caporaloni and R. Ambrosini	European Journal of Physics	2012	iopscience.iop.org	0	8	46
c9-47	A Survey of the NTP Network	Nelson Minar	alumni.media.mit.edu	1999	alumni.media.mit.edu	1	8	47
c9-48	Synchronizing Clocks in a Cassandra Cluster Pt. 1—The Problem	Viliam Holub	blog.rapid7.com	2014	rapid7.com	1	8	48
c9-49	The One-Second War (What Time Will You Die?)	Poul-Henning Kamp	ACM Queue	2011	queue.acm.org	0	8	49
c9-50	Leap Second Crashes Half the Internet	Nelson Minar	somebits.com	2012	somebits.com	1	8	50
c9-51	Time, Technology and Leaping Seconds	Christopher Pascoe	googleblog.blogspot.co.uk	2011	googleblog.blogspot.com	1	8	51
c9-52	Look Before You Leap—The Coming Leap Second and AWS	Mingxue Zhao and Jeff Barr	aws.amazon.com	2015	aws.amazon.com	1	8	52
c9-53	Network Timing and the 2015 Leap Second	Darryl Veitch and Kanthaiah Vijayalayan	17th International Conference on Passive and Active Measurement	2016	opus.lib.uts.edu.au	0	8	53
c9-54	Timekeeping in VMware Virtual Machines	VMware, Inc	vmware.com	2008	vmware.com	5	8	54
c9-55	Clock Synchronization in Finance and Beyond	Victor Yodaiken	yodaiken.com	2017	yodaiken.com	1	8	55
c9-56	Where the Wild Warnings Are: Root Causes of Chrome HTTPS Certificate Errors	Mustafa Emre Acer, Emily Stark and 7 others	ACM SIGSAC Conference on Computer and Communications Security	2017	acmccs.github.io	0	8	56
c9-57	MiFID II / MiFIR: Regulatory Technical and Implementing Standards—Annex I	European Securities and Markets Authority	esma.europa.eu	2015	esma.europa.eu	1	8	57
c9-58	Solving MiFID II Clock Synchronisation with Minimum Spend (Part 1)	Luke Bigum	catach.blogspot.com	2015	catach.blogspot.com	1	8	58
c9-59	How Precision Time Protocol Is Being Deployed at Meta	Oleg Obleukhov and Ahmad Byagowi	engineering.fb.com	2022	engineering.fb.com	1	8	59
c9-60	GPSJAM: Daily Maps of GPS Interference	John Wiseman	gpsjam.org		gpsjam.org	1	8	60
c9-61	It’s About Time: Microsecond-Accurate Clocks on Amazon EC2 Instances	Josh Levinson, Julien Ridoux and Chris Munns	aws.amazon.com	2023	aws.amazon.com	1	8	61
c9-62	Jepsen: Cassandra	Kyle Kingsbury	aphyr.com	2013	aphyr.com	1	8	62
c9-63	Clocks Are Bad, or, Welcome to the Wonderful World of Distributed Systems	John Daily	riak.com	2013	riak.com	1	8	63
c9-64	It’s About Time!	Marc Brooker	brooker.co.za	2023	brooker.co.za	1	8	64
c9-65	The Trouble with Timestamps	Kyle Kingsbury	aphyr.com	2013	aphyr.com	1	8	65
c9-66	Time, Clocks, and the Ordering of Events in a Distributed System	Leslie Lamport	Communications of the ACM	1978	microsoft.com	0	8	66
c9-67	There Is No Now: Problems with Simultaneity in Distributed Systems	Justin Sheehy	ACM Queue	2015	queue.acm.org	0	8	67
c9-68	Spanner: Google's Globally-Distributed Database	Murat Demirbas	muratbuffalo.blogspot.co.uk	2013	muratbuffalo.blogspot.com	1	8	68
c9-69	Spanner's Concurrency Control	Dahlia Malkhi and Jean-Philippe Martin	ACM SIGACT News	2013	cs.cornell.edu	0	8	69
c9-70	Achieving Precise Clock Synchronization on AWS	Franck Pachot	yugabyte.com	2024	yugabyte.com	1	8	70
c9-71	Living Without Atomic Clocks: Where CockroachDB and Spanner Diverge	Spencer Kimball	cockroachlabs.com	2022	cockroachlabs.com	1	8	71
c9-72	Use of Time in Distributed Databases (Part 4): Synchronized Clocks in Production Databases	Murat Demirbas	muratbuffalo.blogspot.com	2025	muratbuffalo.blogspot.com	1	8	72
c9-73	Leases: An Efficient Fault-Tolerant Mechanism for Distributed File Cache Consistency	Cary G. Gray and David R. Cheriton	12th ACM Symposium on Operating Systems Principles	1989	courses.cs.duke.edu	0	8	73
c9-74	Roblox Return to Service	Daniel Sturman, Scott Delap and 2 others	corp.roblox.com	2022	corp.roblox.com	1	8	74
c9-75	Avoiding Full GCs with MemStore-Local Allocation Buffers	Todd Lipcon	slideshare.net	2011	slideshare.net	1	8	75
c9-76	Live Migration of Virtual Machines	Christopher Clark, Keir Fraser and 6 others	2nd USENIX Symposium on Symposium on Networked Systems Design & Implementation	2005	usenix.org	0	8	76
c9-77	fsyncers and Curveballs	Mike Shaver	shaver.off.net	2008	web.archive.org	1	8	77
c9-78	Eliminating Large JVM GC Pauses Caused by Background IO Traffic	Zhenyun Zhuang and Cuong Tran	engineering.linkedin.com	2016	engineering.linkedin.com	1	8	78
c9-79	Java Garbage Collection Distilled	Martin Thompson	mechanical-sympathy.blogspot.co.uk	2013	mechanical-sympathy.blogspot.com	1	8	79
c9-80	Blade: A Data Center Garbage Collector	David Terei and Amit Levy	arXiv	2015	arxiv.org	0	8	80
c9-81	Trash Day: Coordinating Garbage Collection in Distributed Systems	Martin Maas, Tim Harris and 2 others	15th USENIX Workshop on Hot Topics in Operating Systems	2015	timharris.uk	0	8	81
c9-82	The LMAX Architecture	Martin Fowler	martinfowler.com	2011	martinfowler.com	1	8	82
c9-83	Knowledge and Common Knowledge in a Distributed Environment	Joseph Y. Halpern and Yoram Moses	Journal of the ACM	1990	groups.csail.mit.edu	0	8	83
c9-84	Ad Hoc Transactions in Web Applications: The Good, the Bad, and the Ugly	Chuzhe Tang, Zhaoguo Wang and 5 others	ACM International Conference on Management of Data	2022	ipads.se.sjtu.edu.cn	0	8	84
c9-85	ZooKeeper: Distributed Process Coordination	Flavio P. Junqueira and Benjamin Reed		2013	oreilly.com	2	8	85
c9-86	HBase and HDFS: Understanding Filesystem Usage in HBase	Enis Söztutar	HBaseCon	2013	slideshare.net	0	8	86
c9-87	SUSE Linux Enterprise High Availability 15 SP6 Administration Guide, Section 12: Fencing and STONITH	SUSE LLC	documentation.suse.com	2025	documentation.suse.com	1	8	87
c9-88	The Chubby Lock Service for Loosely-Coupled Distributed Systems	Mike Burrows	7th USENIX Symposium on Operating System Design and Implementation	2006	research.google	0	8	88
c9-89	etcd 3.4.3	Kyle Kingsbury	jepsen.io	2020	jepsen.io	1	8	89
c9-90	Distributed Locks Are Dead; Long Live Distributed Locks!	Ensar Basri Kahveci	hazelcast.com	2019	hazelcast.com	1	8	90
c9-91	How to Do Distributed Locking	Martin Kleppmann	martin.kleppmann.com	2016	martin.kleppmann.com	1	8	91
c9-92	Is Redlock Safe?	Salvatore Sanfilippo	antirez.com	2016	antirez.com	1	8	92
c9-93	Leader Election with S3 Conditional Writes	Gunnar Morling	morling.dev	2024	morling.dev	1	8	93
c9-94	The Byzantine Generals Problem	Leslie Lamport, Robert Shostak and Marshall Pease	ACM Transactions on Programming Languages and Systems	1982	microsoft.com	0	8	94
c9-95	Notes on Data Base Operating Systems	Jim N. Gray	Operating Systems: An Advanced Course	1978	jimgray.azurewebsites.net	2	8	95
c9-96	How Complicated Was the Byzantine Empire?	Brian Palmer	slate.com	2011	slate.com	1	8	96
c9-97	My Writings	Leslie Lamport	lamport.azurewebsites.net	2014	lamport.azurewebsites.net	1	8	97
c9-98	Bus Architectures for Safety-Critical Embedded Systems	John Rushby	1st International Workshop on Embedded Software	2001	csl.sri.com	0	8	98
c9-99	ELC: SpaceX Lessons Learned	Jake Edge	lwn.net	2013	lwn.net	1	8	99
c9-100	SoK: Consensus in the Age of Blockchains	Shehar Bano, Alberto Sonnino and 5 others	1st ACM Conference on Advances in Financial Technologies	2019	smeiklej.com	0	8	100
c9-101	Why We Should Train AI in Space	Ezra Feilden, Adi Oltean and Philip Johnston	starcloud.com	2024	starcloud.com	1	8	101
c9-102	The Saddest Moment	James Mickens	USENIX ;login	2013	usenix.org	0	8	102
c9-103	Byzantine Eventual Consistency and the Fundamental Limits of Peer-to-Peer Databases	Martin Kleppmann and Heidi Howard	arXiv	2020	arxiv.org	0	8	103
c9-104	Making CRDTs Byzantine Fault Tolerant	Martin Kleppmann	9th Workshop on Principles and Practice of Consistency for Distributed Data	2022	martin.kleppmann.com	0	8	104
c9-105	The Discovery of Apache ZooKeeper’s Poison Packet	Evan Gilman	pagerduty.com		pagerduty.com	1	8	105
c9-106	When the CRC and TCP Checksum Disagree	Jonathan Stone and Craig Partridge	ACM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication	2000	conferences2.sigcomm.org	0	8	106
c9-107	How Both TCP and Ethernet Checksums Fail	Evan Jones	evanjones.ca	2015	evanjones.ca	1	8	107
c9-108	Consensus in the Presence of Partial Synchrony	Cynthia Dwork, Nancy Lynch and Larry Stockmeyer	Journal of the ACM	1988	groups.csail.mit.edu	0	8	108
c9-109	Fail-Stop Processors: An Approach to Designing Fault-Tolerant Computing Systems	Richard D. Schlichting and Fred B. Schneider	ACM Transactions on Computer Systems	1983	cs.cornell.edu	0	8	109
c9-110	Limplock: Understanding the Impact of Limpware on Scale-out Cloud Systems	Thanh Do, Mingzhe Hao and 3 others	4th ACM Symposium on Cloud Computing	2013	ucare.cs.uchicago.edu	0	8	110
c9-111	Garbage Collecting Unhealthy JVMs, a Proactive Approach	Josh Snyder and Joseph Lynch	netflixtechblog.medium.com	2019	netflixtechblog.medium.com	1	8	111
c9-112	Fail-Slow at Scale: Evidence of Hardware Performance Faults in Large Production Systems	Haryadi S. Gunawi, Riza O. Suminto and 19 others	16th USENIX Conference on File and Storage Technologies	2018	usenix.org	0	8	112
c9-113	Gray Failure: The Achilles' Heel of Cloud-Scale Systems	Peng Huang, Chuanxiong Guo and 5 others	16th Workshop on Hot Topics in Operating Systems	2017	microsoft.com	0	8	113
c9-114	Understanding, Detecting and Localizing Partial Failures in Large System Software	Chang Lou, Peng Huang and Scott Smith	17th USENIX Symposium on Networked Systems Design and Implementation	2020	usenix.org	0	8	114
c9-115	Eventual Consistency Today: Limitations, Extensions, and Beyond	Peter Bailis and Ali Ghodsi	ACM Queue	2013	queue.acm.org	0	8	115
c9-116	Defining Liveness	Bowen Alpern and Fred B. Schneider	Information Processing Letters	1985	cs.cornell.edu	0	8	116
c9-117	Dude, Where’s My Metadata?	Flavio P. Junqueira	fpj.me	2015	fpj.me	1	8	117
c9-118	January 28th Incident Report	Scott Sanders	github.com	2016	github.com	6	8	118
c9-119	A Few Notes on Kafka and Jepsen	Jay Kreps	blog.empathybox.com	2013	blog.empathybox.com	1	8	119
c9-120	Systems Correctness Practices at AWS	Marc Brooker and Ankush Desai	ACM Queue	2024	dl.acm.org	0	8	120
c9-121	Testing Distributed Systems: Curated list of Resources on Testing Distributed Systems	Andrey Satarin	asatarin.github.io		asatarin.github.io	1	8	121
c9-122	We Put a Distributed Database in the Browser—And Made a Game of It!	Phil Eaton and Joran Dirk Greef	tigerbeetle.com	2023	tigerbeetle.com	1	8	122
c9-123	FoundationDB—Simulation and Testing	Apple, Inc and the FoundationDB project authors	apple.github.io		apple.github.io	1	8	123
c9-124	Verifying Kafka Transactions—Diary Entry 2—Writing an Initial TLA+ Spec	Jack Vanlightly	jack-vanlightly.com	2024	jack-vanlightly.com	1	8	124
c9-125	From Chaos to Order—Tools and Techniques for Testing TiDB, A Distributed NewSQL Database	Siddon Tang	pingcap.com	2018	pingcap.co.jp	1	8	125
c9-126	Parallel Commits: An Atomic Commit Protocol for Globally Distributed Transactions	Nathan VanBenschoten	cockroachlabs.com	2019	cockroachlabs.com	1	8	126
c9-127	Paper: VR Revisited—State Transfer (Part 3)	Jack Vanlightly	jack-vanlightly.com	2022	jack-vanlightly.com	1	8	127
c9-128	What If the Spec Doesn't Match the Code?	Hillel Wayne	buttondown.com	2024	buttondown.com	1	8	128
c9-129	Multi-Grained Specifications for Distributed System Model Checking and Verification	Lingzhi Ouyang, Xudong Sun and 5 others	20th European Conference on Computer Systems	2025	arxiv.org	0	8	129
c9-130	The Netflix Simian Army	Yury Izrailevsky and Ariel Tseitlin	netflixtechblog.com	2011	netflixtechblog.com	1	8	130
c9-131	Jepsen: On the Perils of Network Partitions	Kyle Kingsbury	aphyr.com	2013	aphyr.com	1	8	131
c9-132	Analyses	Kyle Kingsbury	jepsen.io	2024	jepsen.io	1	8	132
c9-133	Why Is Random Testing Effective for Partition Tolerance Bugs?	Rupak Majumdar and Filip Niksic	Proceedings of the ACM on Programming Languages	2017	dl.acm.org	0	8	133
c9-134	Simulation and Testing	FoundationDB project authors	apple.github.io		apple.github.io	1	8	134
c9-135	Simulation Testing for Liveness	Alex Kladov	tigerbeetle.com	2023	tigerbeetle.com	1	8	135
c9-136	(Mostly) Deterministic Simulation Testing in Go	Alfonso Subiotto Marqués	polarsignals.com	2024	polarsignals.com	1	8	136
c10-1	Linearizability: A Correctness Condition for Concurrent Objects	Maurice P. Herlihy and Jeannette M. Wing	ACM Transactions on Programming Languages and Systems	1990	cs.brown.edu	0	9	1
c10-2	On Interprocess Communication	Leslie Lamport	Distributed Computing	1986	microsoft.com	0	9	2
c10-3	Information Storage in a Decentralized Computer System	David K. Gifford		1981	bitsavers.org	1	9	3
c10-4	Please Stop Calling Databases CP or AP	Martin Kleppmann	martin.kleppmann.com	2015	martin.kleppmann.com	1	9	4
c10-5	Jepsen: MongoDB Stale Reads	Kyle Kingsbury	aphyr.com	2015	aphyr.com	1	9	5
c10-6	Computational Techniques in Knossos	Kyle Kingsbury	aphyr.com	2014	aphyr.com	1	9	6
c10-7	Elle: Inferring Isolation Anomalies from Experimental Observations	Kyle Kingsbury and Peter Alvaro	Proceedings of the VLDB Endowment	2020	vldb.org	0	9	7
c10-8	Consistency in Non-Transactional Distributed Storage Systems	Paolo Viotti and Marko Vukolić	ACM Computing Surveys	2016	arxiv.org	0	9	8
c10-9	Linearizability Versus Serializability	Peter Bailis	bailis.org	2014	bailis.org	1	9	9
c10-10	Correctness Anomalies Under Serializable Isolation	Daniel Abadi	dbmsmusings.blogspot.com	2019	dbmsmusings.blogspot.com	1	9	10
c10-11	Highly Available Transactions: Virtues and Limitations	Peter Bailis, Aaron Davidson and 4 others	Proceedings of the VLDB Endowment	2013	vldb.org	0	9	11
c10-12	Concurrency Control and Recovery in Database Systems	Philip A. Bernstein, Vassos Hadzilacos and Nathan Goodman	microsoft.com	1987	microsoft.com	2	9	12
c10-13	CockroachDB's Consistency Model	Andrei Matei	cockroachlabs.com	2021	cockroachlabs.com	1	9	13
c10-14	Strict-Serializability, but at What Cost, for What Purpose?	Murat Demirbas	muratbuffalo.blogspot.com	2022	muratbuffalo.blogspot.com	1	9	14
c10-15	Spanner Under the Hood: Understanding Strict Serializability and External Consistency	Doug Judd	cloud.google.com	2023	cloud.google.com	1	9	15
c10-16	Developer Guide	FoundationDB project authors	apple.github.io		apple.github.io	1	9	16
c10-17	How to Talk About Consistency and Isolation in Distributed DBs	Ben Darnell	cockroachlabs.com	2022	cockroachlabs.com	1	9	17
c10-18	An Explanation of the Difference Between Isolation Levels vs. Consistency Levels	Daniel Abadi	dbmsmusings.blogspot.com	2019	dbmsmusings.blogspot.com	1	9	18
c10-19	The Chubby Lock Service for Loosely-Coupled Distributed Systems	Mike Burrows	7th USENIX Symposium on Operating System Design and Implementation	2006	research.google	0	9	19
c10-20	ZooKeeper: Distributed Process Coordination	Flavio P. Junqueira and Benjamin Reed		2013	oreilly.com	2	9	20
c10-21	Oracle 10g RAC Grid, Services & Clustering	Murali Vallath		2006	oreilly.com	2	9	21
c10-22	Coordination Avoidance in Database Systems	Peter Bailis, Alan Fekete and 4 others	Proceedings of the VLDB Endowment	2014	vldb.org	0	9	22
c10-23	Jepsen: etcd and Consul	Kyle Kingsbury	aphyr.com	2014	aphyr.com	1	9	23
c10-24	Zab: High-Performance Broadcast for Primary-Backup Systems	Flavio P. Junqueira, Benjamin C. Reed and Marco Serafini	41st IEEE International Conference on Dependable Systems and Networks	2011	marcoserafini.github.io	0	9	24
c10-25	In Search of an Understandable Consensus Algorithm	Diego Ongaro and John K. Ousterhout	USENIX Annual Technical Conference	2014	usenix.org	0	9	25
c10-26	Sharing Memory Robustly in Message-Passing Systems	Hagit Attiya, Amotz Bar-Noy and Danny Dolev	Journal of the ACM	1995	cs.huji.ac.il	0	9	26
c10-27	Robust Emulation of Shared Memory Using Dynamic Quorum-Acknowledged Broadcasts	Nancy Lynch and Alex Shvartsman	27th Annual International Symposium on Fault-Tolerant Computing	1997	groups.csail.mit.edu	0	9	27
c10-28	Introduction to Reliable and Secure Distributed Programming	Christian Cachin, Rachid Guerraoui and Luís Rodrigues		2011	distributedprogramming.net	2	9	28
c10-29	Possible Issue with Read Repair?	Niklas Ekström, Mikhail Panchenko and Jonathan Ellis	cassandra-dev	2012	lists.apache.org	1	9	29
c10-30	Wait-Free Synchronization	Maurice P. Herlihy	ACM Transactions on Programming Languages and Systems	1991	cs.brown.edu	0	9	30
c10-31	Harvest, Yield, and Scalable Tolerant Systems	Armando Fox and Eric A. Brewer	7th Workshop on Hot Topics in Operating Systems	1999	radlab.cs.berkeley.edu	0	9	31
c10-32	Brewer’s Conjecture and the Feasibility of Consistent, Available, Partition-Tolerant Web Services	Seth Gilbert and Nancy Lynch	ACM SIGACT News	2002	comp.nus.edu.sg	0	9	32
c10-33	Perspectives on the CAP Theorem	Seth Gilbert and Nancy Lynch	IEEE Computer Magazine	2012	groups.csail.mit.edu	0	9	33
c10-34	CAP Twelve Years Later: How the 'Rules' Have Changed	Eric A. Brewer	IEEE Computer Magazine	2012	sites.cs.ucsb.edu	0	9	34
c10-35	Consistency in Partitioned Networks	Susan B. Davidson, Hector Garcia-Molina and Dale Skeen	ACM Computing Surveys	1985	cs.rice.edu	0	9	35
c10-36	RFC 677: The Maintenance of Duplicate Databases	Paul R. Johnson and Robert H. Thomas		1975	tools.ietf.org	5	9	36
c10-37	Sacrificing Serializability to Attain High Availability of Data in an Unreliable Network	Michael J. Fischer and Alan Michael	1st ACM Symposium on Principles of Database Systems	1982	sites.cs.ucsb.edu	0	9	37
c10-38	NoSQL: Past, Present, Future	Eric A. Brewer	QCon San Francisco	2012	infoq.com	3	9	38
c10-39	Spanner, TrueTime & The CAP Theorem	Eric Brewer	research.google.com	2017	research.google.com	1	9	39
c10-40	Consistency Tradeoffs in Modern Distributed Database System Design	Daniel J. Abadi	IEEE Computer Magazine	2012	cs.umd.edu	0	9	40
c10-41	A Hundred Impossibility Proofs for Distributed Computing	Nancy A. Lynch	8th ACM Symposium on Principles of Distributed Computing	1989	groups.csail.mit.edu	0	9	41
c10-42	Consistency, Availability, and Convergence	Prince Mahajan, Lorenzo Alvisi and Mike Dahlin		2011	apps.cs.utexas.edu	1	9	42
c10-43	Limitations of Highly-Available Eventually-Consistent Data Stores	Hagit Attiya, Faith Ellen and Adam Morrison	ACM Symposium on Principles of Distributed Computing	2015	cs.tau.ac.il	0	9	43
c10-44	Migrating to Microservices	Adrian Cockcroft	QCon London	2014	infoq.com	3	9	44
c10-45	A Critique of the CAP Theorem	Martin Kleppmann	arXiv	2015	arxiv.org	0	9	45
c10-46	Problems with CAP, and Yahoo’s Little Known NoSQL System	Daniel Abadi	dbmsmusings.blogspot.com	2010	dbmsmusings.blogspot.com	1	9	46
c10-47	Hazelcast and the Mythical PA/EC System	Daniel Abadi	dbmsmusings.blogspot.com	2017	dbmsmusings.blogspot.com	1	9	47
c10-48	x86-TSO: A Rigorous and Usable Programmer's Model for x86 Multiprocessors	Peter Sewell, Susmit Sarkar and 3 others	Communications of the ACM	2010	cl.cam.ac.uk	0	9	48
c10-49	Memory Barriers/Fences	Martin Thompson	mechanical-sympathy.blogspot.co.uk	2011	mechanical-sympathy.blogspot.com	1	9	49
c10-50	What Every Programmer Should Know About Memory	Ulrich Drepper	akkadia.org	2007	akkadia.org	1	9	50
c10-51	Sequential Consistency Versus Linearizability	Hagit Attiya and Jennifer L. Welch	ACM Transactions on Computer Systems	1994	courses.csail.mit.edu	0	9	51
c10-52	Universally Unique IDentifiers (UUIDs)	Kyzer R. Davis, Brad G. Peabody and Paul J. Leach		2024	rfc-editor.org	5	9	52
c10-53	Announcing Snowflake	Ryan King	blog.x.com	2010	blog.x.com	1	9	53
c10-54	Universally Unique Lexicographically Sortable Identifier	Alizain Feerasta	github.com	2016	github.com	6	9	54
c10-55	A Better ID Generator for PostgreSQL	Rob Conery	bigmachine.io	2014	blog.bigmachine.io	1	9	55
c10-56	Time, Clocks, and the Ordering of Events in a Distributed System	Leslie Lamport	Communications of the ACM	1978	microsoft.com	0	9	56
c10-57	Logical Physical Clocks	Sandeep S. Kulkarni, Murat Demirbas and 3 others	18th International Conference on Principles of Distributed Systems	2014	cse.buffalo.edu	0	9	57
c10-58	On the Use of Clocks to Enforce Consistency in the Cloud	Manuel Bravo, Nuno Diegues and 3 others	IEEE Data Engineering Bulletin	2015	sites.computer.org	1	9	58
c10-59	Large-Scale Incremental Processing Using Distributed Transactions and Notifications	Daniel Peng and Frank Dabek	9th USENIX Conference on Operating Systems Design and Implementation	2010	usenix.org	0	9	59
c10-60	Paxos Made Live—An Engineering Perspective	Tushar Deepak Chandra, Robert Griesemer and Joshua Redstone	26th ACM Symposium on Principles of Distributed Computing	2007	read.seas.harvard.edu	0	9	60
c10-61	Lessons Learned from Implementing Paxos	Will Portnoy	blog.willportnoy.com	2012	blog.willportnoy.com	1	9	61
c10-62	Viewstamped Replication: A New Primary Copy Method to Support Highly-Available Distributed Systems	Brian M. Oki and Barbara H. Liskov	7th ACM Symposium on Principles of Distributed Computing	1988	pmg.csail.mit.edu	0	9	62
c10-63	Viewstamped Replication Revisited	Barbara H. Liskov and James Cowling		2012	pmg.csail.mit.edu	1	9	63
c10-64	The Part-Time Parliament	Leslie Lamport	ACM Transactions on Computer Systems	1998	microsoft.com	0	9	64
c10-65	Paxos Made Simple	Leslie Lamport	ACM SIGACT News	2001	microsoft.com	1	9	65
c10-66	Paxos Made Moderately Complex	Robbert van Renesse and Deniz Altinbuken	ACM Computing Surveys	2015	people.cs.umass.edu	0	9	66
c10-67	Consensus: Bridging Theory and Practice	Diego Ongaro		2014	github.com	6	9	67
c10-68	Raft Refloated: Do We Have Consensus?	Heidi Howard, Malte Schwarzkopf and 2 others	ACM SIGOPS Operating Systems Review	2015	cl.cam.ac.uk	0	9	68
c10-69	ZooKeeper’s Atomic Broadcast Protocol: Theory and Practice	André Medeiros		2012	tcs.hut.fi	1	9	69
c10-70	Vive la Différence: Paxos vs. Viewstamped Replication vs. Zab	Robbert van Renesse, Nicolas Schiper and Fred B. Schneider	IEEE Transactions on Dependable and Secure Computing	2014	arxiv.org	0	9	70
c10-71	Paxos vs Raft: Have We Reached Consensus on Distributed Consensus?	Heidi Howard and Richard Mortier	7th Workshop on Principles and Practice of Consistency for Distributed Data	2020	arxiv.org	0	9	71
c10-72	Practical Byzantine Fault Tolerance and Proactive Recovery	Miguel Castro and Barbara H. Liskov	ACM Transactions on Computer Systems	2002	microsoft.com	0	9	72
c10-73	SoK: Consensus in the Age of Blockchains	Shehar Bano, Alberto Sonnino and 5 others	1st ACM Conference on Advances in Financial Technologies	2019	smeiklej.com	0	9	73
c10-74	Impossibility of Distributed Consensus with One Faulty Process	Michael J. Fischer, Nancy Lynch and Michael S. Paterson	Journal of the ACM	1985	groups.csail.mit.edu	0	9	74
c10-75	Unreliable Failure Detectors for Reliable Distributed Systems	Tushar Deepak Chandra and Sam Toueg	Journal of the ACM	1996	courses.csail.mit.edu	0	9	75
c10-76	Another Advantage of Free Choice: Completely Asynchronous Agreement Protocols	Michael Ben-Or	2nd ACM Symposium on Principles of Distributed Computing	1983	homepage.cs.uiowa.edu	0	9	76
c10-77	Consensus in the Presence of Partial Synchrony	Cynthia Dwork, Nancy Lynch and Larry Stockmeyer	Journal of the ACM	1988	groups.csail.mit.edu	0	9	77
c10-78	Total Order Broadcast and Multicast Algorithms: Taxonomy and Survey	Xavier Défago, André Schiper and Péter Urbán	ACM Computing Surveys	2004	dspace.jaist.ac.jp	0	9	78
c10-79	Distributed Computing: Fundamentals, Simulations and Advanced Topics	Hagit Attiya and Jennifer Welch		2004	doi.org	2	9	79
c10-80	Revisiting the Relationship Between Non-Blocking Atomic Commitment and Consensus	Rachid Guerraoui	9th International Workshop on Distributed Algorithms	1995	citeseerx.ist.psu.edu	0	9	80
c10-81	Consensus on Transaction Commit	Jim N. Gray and Leslie Lamport	ACM Transactions on Database Systems	2006	dsf.berkeley.edu	0	9	81
c10-82	Implementing Fault-Tolerant Services Using the State Machine Approach: A Tutorial	Fred B. Schneider	ACM Computing Surveys	1990	cs.cornell.edu	0	9	82
c10-83	Calvin: Fast Distributed Transactions for Partitioned Database Systems	Alexander Thomson, Thaddeus Diamond and 4 others	ACM International Conference on Management of Data	2012	cs.yale.edu	0	9	83
c10-84	Tango: Distributed Data Structures over a Shared Log	Mahesh Balakrishnan, Dahlia Malkhi and 8 others	24th ACM Symposium on Operating Systems Principles	2013	microsoft.com	0	9	84
c10-85	CORFU: A Shared Log Design for Flash Clusters	Mahesh Balakrishnan, Dahlia Malkhi and 4 others	9th USENIX Symposium on Networked Systems Design and Implementation	2012	usenix.org	0	9	85
c10-86	There Is More Consensus in Egalitarian Parliaments	Iulian Moraru, David G. Andersen and Michael Kaminsky	24th ACM Symposium on Operating Systems Principles	2013	dl.acm.org	0	9	86
c10-87	Odyssey: the Impact of Modern Hardware on Strongly-Consistent Replication Protocols	Vasilis Gavrielatos, Antonios Katsarakis and Vijay Nagarajan	16th European Conference on Computer Systems	2021	vasigavr1.github.io	0	9	87
c10-88	Flexible Paxos: Quorum Intersection Revisited	Heidi Howard, Dahlia Malkhi and Alexander Spiegelman	20th International Conference on Principles of Distributed Systems	2016	drops.dagstuhl.de	0	9	88
c10-89	Distributed Systems	Martin Kleppmann	University of Cambridge	2024	cl.cam.ac.uk	1	9	89
c10-90	Jepsen: Elasticsearch 1.5.0	Kyle Kingsbury	aphyr.com	2015	aphyr.com	1	9	90
c10-91	Coracle: Evaluating Consensus at the Internet Edge	Heidi Howard and Jon Crowcroft	Annual Conference of the ACM Special Interest Group on Data Communication	2015	conferences.sigcomm.org	0	9	91
c10-92	A Byzantine failure in the Real World	Tom Lianza and Chris Snook	blog.cloudflare.com	2020	blog.cloudflare.com	1	9	92
c10-93	BookKeeper Tutorial	Ivan Kelly	github.com	2014	github.com	6	9	93
c10-94	Apache BookKeeper Insights Part 1—External Consensus and Dynamic Membership	Jack Vanlightly	medium.com	2021	medium.com	1	9	94
c11-1	How to Beat the CAP Theorem	Nathan Marz	nathanmarz.com	2011	nathanmarz.com	1	10	1
c11-2	Agile Architecture	Molly Bartlett Dishman and Martin Fowler	O'Reilly Software Architecture Conference	2015	youtube.com	3	10	2
c11-3	MapReduce: Simplified Data Processing on Large Clusters	Jeffrey Dean and Sanjay Ghemawat	6th USENIX Symposium on Operating System Design and Implementation	2004	usenix.org	0	10	3
c11-4	Massively Parallel Databases and MapReduce Systems	Shivnath Babu and Herodotos Herodotou	Foundations and Trends in Databases	2013	microsoft.com	0	10	4
c11-5	MapReduce: A Major Step Backwards	David J. DeWitt and Michael Stonebraker	databasecolumn.vertica.com	2008	homes.cs.washington.edu	1	10	5
c11-6	The Elephant Was a Trojan Horse: On the Death of Map-Reduce at Google	Henry Robinson	the-paper-trail.org	2014	the-paper-trail.org	1	10	6
c11-7	R.I.P. MapReduce. After having served us well since 2003, today we removed the remaining internal codebase for good	Urs Hölzle	x.com	2019	twitter.com	1	10	7
c11-8	Command-Line Tools Can Be 235x Faster than Your Hadoop Cluster	Adam Drake	aadrake.com	2014	adamdrake.com	1	10	8
c11-9	sort: Sort Text Files			2025	gnu.org	1	10	9
c11-10	The Quantcast File System	Michael Ovsiannikov, Silvius Rus and 4 others	Proceedings of the VLDB Endowment	2013	db.disi.unitn.eu	0	10	10
c11-11	Introduction to HDFS Erasure Coding in Apache Hadoop	Andrew Wang, Zhe Zhang and 3 others	blog.cloudera.com	2015	cloudera.com	1	10	11
c11-12	Building and Operating a Pretty Big Storage System Called S3	Andy Warfield	allthingsdistributed.com	2023	allthingsdistributed.com	1	10	12
c11-13	Apache Hadoop YARN: Yet Another Resource Negotiator	Vinod Kumar Vavilapalli, Arun C. Murthy and 14 others	4th Annual Symposium on Cloud Computing	2013	opencourse.inf.ed.ac.uk	0	10	13
c11-14	Reducibility Among Combinatorial Problems	Richard M. Karp	Complexity of Computer Computations. The IBM Research Symposia Series	1972	cs.purdue.edu	0	10	14
c11-15	NP-Complete Scheduling Problems	J. D. Ullman	Journal of Computer and System Sciences	1975	cs.montana.edu	0	10	15
c11-16	The Complete Guide to Spot Instances on AWS, Azure and GCP	Gilad David Maayan	datacenterdynamics.com	2021	datacenterdynamics.com	1	10	16
c11-17	Large-Scale Cluster Management at Google with Borg	Abhishek Verma, Luis Pedrosa and 4 others	10th European Conference on Computer Systems	2015	dl.acm.org	0	10	17
c11-18	Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing	Matei Zaharia, Mosharaf Chowdhury and 7 others	9th USENIX Symposium on Networked Systems Design and Implementation	2012	usenix.org	0	10	18
c11-19	Hadoop Application Architectures	Mark Grover, Ted Malaska and 2 others		2015	learning.oreilly.com	2	10	19
c11-20	Learning Spark	Jules S. Damji, Brooke Wenig and 2 others		2020	learning.oreilly.com	2	10	20
c11-21	Dryad: Distributed Data-Parallel Programs from Sequential Building Blocks	Michael Isard, Mihai Budiu and 3 others	2nd European Conference on Computer Systems	2007	microsoft.com	0	10	21
c11-22	Nephele: Efficient Parallel Data Processing in the Cloud	Daniel Warneke and Odej Kao	2nd Workshop on Many-Task Computing on Grids and Supercomputers	2009	stratosphere2.dima.tu-berlin.de	0	10	22
c11-23	In-Memory Query Execution in Google BigQuery	Hossein Ahmadi	cloud.google.com	2016	cloud.google.com	1	10	23
c11-24	Hadoop: The Definitive Guide	Tom White		2015	learning.oreilly.com	2	10	24
c11-25	Peeking into Apache Flink's Engine Room	Fabian Hüske	flink.apache.org	2015	flink.apache.org	1	10	25
c11-26	Hive 0.14 Cost Based Optimizer (CBO) Technical Overview	Mostafa Mokhtar	hortonworks.com	2015	web.archive.org	1	10	26
c11-27	Spark SQL: Relational Data Processing in Spark	Michael Armbrust, Reynold S. Xin and 9 others	ACM International Conference on Management of Data	2015	people.csail.mit.edu	0	10	27
c11-28	Spark vs. Pandas, Part 2—Spark	Kaya Kupferschmidt	towardsdatascience.com	2020	towardsdatascience.com	1	10	28
c11-29	Tracking Payments at Scale	Ammar Chalifah	bolt.eu.com	2025	bolt.eu	1	10	29
c11-30	Demand Forecasting at Getir Built with Amazon Forecast	Nafi Ahmet Turgut, Hamza Akyıldız and 5 others	aws.amazon.com	2023	aws.amazon.com	1	10	30
c11-31	Enhancing Homepage Feed Relevance by Harnessing the Power of Large Corpus Sparse ID Embeddings	Jason (Siyu) Zhu	linkedin.com	2023	linkedin.com	1	10	31
c11-32	Apache Spark @Scale: A 60 TB+ Production Use Case	Avery Ching, Sital Kedia and Shuojie Wang	engineering.fb.com	2016	engineering.fb.com	1	10	32
c11-33	How ACH Works: A Developer Perspective—Part 1	Edward Kim	engineering.gusto.com	2014	engineering.gusto.com	1	10	33
c11-34	How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh	Zhamak Dehghani	martinfowler.com	2019	martinfowler.com	1	10	34
c11-35	What the Heck Is a Data Mesh?!	Chris Riccomini	cnr.sh	2021	cnr.sh	1	10	35
c11-36	Data Contracts	Chad Sanderson, Mark Freeman and B. E. Schmidt		2025	oreilly.com	2	10	36
c11-37	Data Fabric vs. Data Mesh: What's the Difference?	Daniel Abadi	starburst.io	2021	starburst.io	1	10	37
c11-38	Lakehouse: A New Generation of Open Platforms That Unify Data Warehousing and Advanced Analytics	Michael Armbrust, Ali Ghodsi and 2 others	11th Annual Conference on Innovative Data Systems Research	2021	cidrdb.org	0	10	38
c11-39	A Bridging Model for Parallel Computation	Leslie G. Valiant	Communications of the ACM	1990	dl.acm.org	0	10	39
c11-40	Spinning Fast Iterative Data Flows	Stephan Ewen, Kostas Tzoumas and 2 others	Proceedings of the VLDB Endowment	2012	vldb.org	0	10	40
c11-41	Pregel: A System for Large-Scale Graph Processing	Grzegorz Malewicz, Matthew H. Austern and 5 others	ACM International Conference on Management of Data	2010	kowshik.github.io	0	10	41
c11-42	OpenAI Chats About Scaling LLMs at Anyscale’s Ray Summit	Richard MacManus	thenewstack.io	2023	thenewstack.io	1	10	42
c11-43	Why Local State Is a Fundamental Primitive in Stream Processing	Jay Kreps	oreilly.com	2014	oreilly.com	1	10	43
c11-44	Open Sourcing Venice—LinkedIn’s Derived Data Platform	Félix GV	linkedin.com	2022	linkedin.com	1	10	44
c12-1	The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing	Tyler Akidau, Robert Bradshaw and 9 others	Proceedings of the VLDB Endowment	2015	vldb.org	0	11	1
c12-2	Structure and Interpretation of Computer Programs	Harold Abelson, Gerald Jay Sussman and Julie Sussman		1996	web.mit.edu	2	11	2
c12-3	The Many Faces of Publish/Subscribe	Patrick Th. Eugster, Pascal A. Felber and 2 others	ACM Computing Surveys	2003	cs.ru.nl	0	11	3
c12-4	Pushing Back	Matthew Sackman	wellquite.org	2016	wellquite.org	1	11	4
c12-5	How (Not) to Write a Pipeline	Thomas Figg (tef)	cohost.org	2023	web.archive.org	1	11	5
c12-6	Brubeck, a statsd-Compatible Metrics Aggregator	Vicent Martí	github.blog	2015	github.blog	1	11	6
c12-7	MoldUDP64 Protocol Specification V 1.00	Seth Lowenberger	nasdaqtrader.com	2009	nasdaqtrader.com	1	11	7
c12-8	Measure Anything, Measure Everything	Ian Malpass	codeascraft.com	2011	codeascraft.com	1	11	8
c12-9	25 Graphite, Grafana and statsd Gotchas	Dieter Plaetinck	grafana.com	2016	grafana.com	1	11	9
c12-10	Web Hooks to Revolutionize the Web	Jeff Lindsay	progrium.com	2007	progrium.github.io	1	11	10
c12-11	Queues Are Databases	Jim N. Gray	arxiv.org	1995	arxiv.org	4	11	11
c12-12	JSR-343 Java Message Service (JMS) 2.0 Specification	Mark Hapner, Rich Burridge and 4 others	jms-spec.java.net	2013	jcp.org	1	11	12
c12-13	AMQP: Advanced Message Queuing Protocol Specification	Sanjay Aiyagari, Matthew Arrott and 17 others		2008	rabbitmq.com	1	11	13
c12-14	Architectural Overview of Pub/Sub		cloud.google.com	2025	cloud.google.com	1	11	14
c12-15	Lessons from Scaling PostgreSQL Queues to 100k Events Per Second	Aris Tzoumas	rudderstack.com	2025	rudderstack.com	1	11	15
c12-16	Kafka Connect Deep Dive—Error Handling and Dead Letter Queues	Robin Moffatt	confluent.io	2019	confluent.io	1	11	16
c12-17	Message Reprocessing: How to Implement the Dead Letter Queue	Dunith Danushka	redpanda.com		redpanda.com	1	11	17
c12-18	KIP-1034: Dead Letter Queue in Kafka Streams	Damien Gasparina, Loic Greffier and Sebastien Viale	cwiki.apache.org	2024	cwiki.apache.org	1	11	18
c12-19	Kafka: A Distributed Messaging System for Log Processing	Jay Kreps, Neha Narkhede and Jun Rao	6th International Workshop on Networking Meets Databases	2011	microsoft.com	0	11	19
c12-20	Benchmarking Apache Kafka: 2 Million Writes Per Second (On Three Cheap Machines)	Jay Kreps	engineering.linkedin.com	2014	engineering.linkedin.com	1	11	20
c12-21	How We’re Improving and Advancing Kafka at LinkedIn	Kartik Paramasivam	engineering.linkedin.com	2015	engineering.linkedin.com	1	11	21
c12-22	Kafka Versus RabbitMQ: A Comparative Study of Two Industry Reference Publish/Subscribe Implementations	Philippe Dobbelaere and Kyumars Sheykh Esmaili	11th ACM International Conference on Distributed and Event-Based Systems	2017	arxiv.org	0	11	22
c12-23	Why Message Queues Endure: A History	Kate Holterhoff	redmonk.com	2024	redmonk.com	1	11	23
c12-24	KIP-932: Queues for Kafka	Andrew Schofield	cwiki.apache.org	2023	cwiki.apache.org	1	11	24
c12-25	The Advantages of Queues on Logs	Jack Vanlightly	jack-vanlightly.com	2023	jack-vanlightly.com	1	11	25
c12-26	The Log: What Every Software Engineer Should Know About Real-Time Data's Unifying Abstraction	Jay Kreps	engineering.linkedin.com	2013	engineering.linkedin.com	1	11	26
c12-27	Change Data Capture Is Having a Moment. Why?	Andy Hattemer	materialize.com	2021	materialize.com	1	11	27
c12-28	Streaming MySQL Tables in Real-Time to Kafka	Prem Santosh Udaya Shankar	engineeringblog.yelp.com	2016	engineeringblog.yelp.com	1	11	28
c12-29	DBLog: A Watermark Based Change-Data-Capture Framework	Andreas Andreakis and Ioannis Papapanagiotou	arXiv	2020	arxiv.org	0	11	29
c12-30	Percolator	Jiri Pechanec	debezium.io	2021	debezium.io	1	11	30
c12-31	Debezium Connector for Cassandra	Debezium maintainers	debezium.io		debezium.io	5	11	31
c12-32	Announcing Kafka Connect: Building Large-Scale Low-Latency Data Pipelines	Neha Narkhede	confluent.io	2016	confluent.io	1	11	32
c12-33	Kafka Change Data Capture Breaks Database Encapsulation	Chris Riccomini	cnr.sh	2018	cnr.sh	1	11	33
c12-34	'Change Data Capture Breaks Encapsulation'. Does It, Though?	Gunnar Morling	decodable.co	2023	decodable.co	1	11	34
c12-35	Revisiting the Outbox Pattern	Gunnar Morling	decodable.co	2024	decodable.co	1	11	35
c12-36	Maintenance of Materialized Views: Problems, Techniques, and Applications	Ashish Gupta and Inderpal Singh Mumick	IEEE Data Engineering Bulletin	1995	web.archive.org	1	11	36
c12-37	DBSP: Incremental Computation on Streams and Its Applications to Databases	Mihai Budiu, Tej Chajed and 3 others	SIGMOD Record	2024	sigmodrecord.org	0	11	37
c12-38	Transaction Processing: Concepts and Techniques	Jim Gray and Andreas Reuter		1992	learning.oreilly.com	2	11	38
c12-39	Accounting for Computer Scientists	Martin Kleppmann	martin.kleppmann.com	2011	martin.kleppmann.com	1	11	39
c12-40	Immutability Changes Everything	Pat Helland	7th Biennial Conference on Innovative Data Systems Research	2015	cidrdb.org	0	11	40
c12-41	Making Sense of Stream Processing	Martin Kleppmann		2016	martin.kleppmann.com	4	11	41
c12-42	Stream Processing Hard Problems—Part 1: Killing Lambda	Kartik Paramasivam	engineering.linkedin.com	2016	engineering.linkedin.com	1	11	42
c12-43	CQRS: What? Why? How?	Stéphane Derosiaux	sderosiaux.medium.com	2019	sderosiaux.medium.com	1	11	43
c12-44	Immutability, MVCC, and Garbage Collection	Baron Schwartz	xaprb.com	2013	web.archive.org	1	11	44
c12-45	Re: Turning the Database Inside-out with Apache Samza	Daniel Eloff, Slava Akhmechet and 2 others	news.ycombinator.com	2015	news.ycombinator.com	1	11	45
c12-46	Datomic Documentation: Excision	Cognitect, Inc	docs.datomic.com		docs.datomic.com	5	11	46
c12-47	Fossil Documentation: Deleting Content from Fossil		fossil-scm.org	2025	fossil-scm.org	1	11	47
c12-48	The irony of distributed systems is that data loss is really easy but deleting data is surprisingly hard	Jay Kreps	x.com	2015	x.com	1	11	48
c12-49	Crypto Shredding: How It Can Solve Modern Data Retention Challenges	Brent Robinson	medium.com	2019	medium.com	1	11	49
c12-50	Forward Secure Asynchronous Messaging from Puncturable Encryption	Matthew D. Green and Ian Miers	IEEE Symposium on Security and Privacy	2015	isi.jhu.edu	0	11	50
c12-51	What’s the Difference Between ESP and CEP?	David C. Luckham	complexevents.com		complexevents.com	1	11	51
c12-52	The CQL Continuous Query Language: Semantic Foundations and Query Execution	Arvind Arasu, Shivnath Babu and Jennifer Widom	The VLDB Journal	2006	microsoft.com	0	11	52
c12-53	Data in Flight: How Streaming SQL Technology Can Help Solve the Web 2.0 Data Crunch	Julian Hyde	ACM Queue	2009	queue.acm.org	0	11	53
c12-54	HyperLogLog	Philippe Flajolet, Éric Fusy and 2 others			algo.inria.fr	1	11	54
c12-55	Questioning the Lambda Architecture	Jay Kreps	oreilly.com	2014	oreilly.com	1	11	55
c12-56	An Overview of Apache Streaming Technologies	Ian Reppel	ianreppel.org	2016	ianreppel.org	1	11	56
c12-57	Why Local State Is a Fundamental Primitive in Stream Processing	Jay Kreps	oreilly.com	2014	oreilly.com	1	11	57
c12-58	Deep Dive into the RisingWave Stream Processing Engine—Part 2: Computational Model	RisingWave Labs	risingwave.com	2023	risingwave.com	1	11	58
c12-59	Differential Dataflow	Frank McSherry, Derek G. Murray and 2 others	6th Biennial Conference on Innovative Data Systems Research	2013	cidrdb.org	0	11	59
c12-60	Incremental Computation in the Database	Andy Hattemer	materialize.com	2020	materialize.com	1	11	60
c12-61	Percolator	Shay Banon	elastic.co	2011	elastic.co	1	11	61
c12-62	Real-Time Full-Text Search with Luwak and Samza	Alan Woodward and Martin Kleppmann	martin.kleppmann.com	2015	martin.kleppmann.com	1	11	62
c12-63	The World Beyond Batch: Streaming 102	Tyler Akidau	oreilly.com	2016	oreilly.com	1	11	63
c12-64	Streaming Analytics with Apache Flink	Stephan Ewen	Kafka Summit	2016	slideshare.net	0	11	64
c12-65	MillWheel: Fault-Tolerant Stream Processing at Internet Scale	Tyler Akidau, Alex Balikov and 8 others	Proceedings of the VLDB Endowment	2013	vldb.org	0	11	65
c12-66	Improving Snowplow's Understanding of Time	Alex Dean	snowplow.io	2015	snowplow.io	1	11	66
c12-67	Azure Stream Analytics: Windowing Functions		learn.microsoft.com	2025	learn.microsoft.com	1	11	67
c12-68	Photon: Fault-Tolerant and Scalable Joining of Continuous Data Streams	Rajagopal Ananthanarayanan, Venkatesh Basker and 8 others	ACM International Conference on Management of Data	2013	research.google.com	0	11	68
c12-69	Doing the Impossible: Exactly-Once Messaging Patterns in Kafka	Ben Kirwin	ben.kirw.in	2014	ben.kirw.in	1	11	69
c12-70	Data on the Outside Versus Data on the Inside	Pat Helland	2nd Biennial Conference on Innovative Data Systems Research	2005	cidrdb.org	0	11	70
c12-71	The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling	Ralph Kimball and Margy Ross		2013	learning.oreilly.com	2	11	71
c12-72	I'm coining the phrase 'effectively-once' for message processing with at-least-once + idempotent operations	Viktor Klang	x.com	2016	x.com	1	11	72
c12-73	High-Throughput, Low-Latency, and Exactly-Once Stream Processing with Apache Flink	Kostas Tzoumas, Stephan Ewen and Robert Metzger	ververica.com	2015	web.archive.org	1	11	73
c12-74	Lightweight Asynchronous Snapshots for Distributed Dataflows	Paris Carbone, Gyula Fóra and 3 others	arXiv	2015	arxiv.org	0	11	74
c12-75	Fast Data: Smart and at Scale	Ryan Betts and John Hugg		2015	voltactivedata.com	4	11	75
c12-76	Exactly-Once Semantics Are Possible: Here’s How Kafka Does It	Neha Narkhede and Guozhang Wang	confluent.io	2019	confluent.io	1	11	76
c12-77	KIP-98—Exactly Once Delivery and Transactional Messaging	Jason Gustafson, Flavio Junqueira and 3 others	cwiki.apache.org	2016	cwiki.apache.org	1	11	77
c12-78	Idempotence Is Not a Medical Condition	Pat Helland	Communications of the ACM	2012	dl.acm.org	0	11	78
c12-79	Re: Trying to Achieve Deterministic Behavior on Recovery/Rewind	Jay Kreps	samza-dev	2014	lists.apache.org	1	11	79
c12-80	A Survey of Rollback-Recovery Protocols in Message-Passing Systems	E. N. (Mootaz) Elnozahy, Lorenzo Alvisi and 2 others	ACM Computing Surveys	2002	cs.utexas.edu	0	11	80
c12-81	Kafka Streams—How Does It Fit the Stream Processing Landscape?	Adam Warski	softwaremill.com	2016	softwaremill.com	1	11	81
c12-82	Batch as a Special Case of Streaming and Alibaba's contribution of Blink	Stephan Ewen, Fabian Hueske and Xiaowei Jiang	flink.apache.org	2019	flink.apache.org	1	11	82
c13-1	Postgres Full-Text Search Is Good Enough!	Rachid Belaid	rachbelaid.com	2015	rachbelaid.com	1	12	1
c13-2	Challenges to Adopting Stronger Consistency at Scale	Philippe Ajoux, Nathan Bronson and 3 others	15th USENIX Workshop on Hot Topics in Operating Systems	2015	usenix.org	0	12	2
c13-3	Building on Quicksand	Pat Helland and Dave Campbell	4th Biennial Conference on Innovative Data Systems Research	2009	arxiv.org	0	12	3
c13-4	Provenance and Causality in Distributed Systems	Jessica Kerr	jessitron.com	2016	jessitron.com	1	12	4
c13-5	The Log: What Every Software Engineer Should Know About Real-Time Data's Unifying Abstraction	Jay Kreps	engineering.linkedin.com	2013	engineering.linkedin.com	1	12	5
c13-6	Life Beyond Distributed Transactions: An Apostate’s Opinion	Pat Helland	3rd Biennial Conference on Innovative Data Systems Research	2007	cidrdb.org	0	12	6
c13-7	The Broad Gauge Story	Lionel A. Smith	Journal of the Monmouthshire Railway Society	1985	lionels.orpheusweb.co.uk	1	12	7
c13-8	Online Migrations at Scale	Jacqueline Xu	stripe.com	2017	stripe.com	1	12	8
c13-9	Changing the Wheels on a Moving Bus—Spotify’s Event Delivery Migration	Flavio Santos and Robert Stephenson	engineering.atspotify.com	2021	engineering.atspotify.com	1	12	9
c13-10	Agile Architecture	Molly Bartlett Dishman and Martin Fowler	O'Reilly Software Architecture Conference	2015	youtube.com	3	12	10
c13-11	Big Data: Principles and Best Practices of Scalable Real-Time Data Systems	Nathan Marz and James Warren		2015	manning.com	2	12	11
c13-12	Questioning the Lambda Architecture	Jay Kreps	oreilly.com	2014	oreilly.com	1	12	12
c13-13	Liquid: Unifying Nearline and Offline Big Data Integration	Raul Castro Fernandez, Peter Pietzuch and 7 others	7th Biennial Conference on Innovative Data Systems Research	2015	cidrdb.org	0	12	13
c13-14	The UNIX Time-Sharing System	Dennis M. Ritchie and Ken Thompson	Communications of the ACM	1974	web.eecs.utk.edu	0	12	14
c13-15	The Road to Composable Data Systems: Thoughts on the Last 15 Years and the Future	Wes McKinney	wesmckinney.com	2023	wesmckinney.com	1	12	15
c13-16	CS262a: Advanced Topics in Computer Systems	Eric A. Brewer and Joseph M. Hellerstein	cs.berkeley.edu	2011	people.eecs.berkeley.edu	1	12	16
c13-17	The Case for Polystores	Michael Stonebraker	wp.sigmod.org	2015	wp.sigmod.org	1	12	17
c13-18	The BigDAWG Polystore System	Jennie Duggan, Aaron J. Elmore and 8 others	ACM SIGMOD Record	2015	sigmod.org	0	12	18
c13-19	Unbundling Transaction Services in the Cloud	David B. Lomet, Alan Fekete and 2 others	4th Biennial Conference on Innovative Data Systems Research	2009	arxiv.org	0	12	19
c13-20	Kafka, Samza and the Unix Philosophy of Distributed Data	Martin Kleppmann and Jay Kreps	IEEE Data Engineering Bulletin	2015	martin.kleppmann.com	1	12	20
c13-21	Winning Now and in the Future: Where Volt Active Data Shines	John Hugg	voltactivedata.com	2016	voltactivedata.com	1	12	21
c13-22	Spreadsheets Are Code	Felienne Hermans	Code Mesh	2015	vimeo.com	3	12	22
c13-23	VisiCalc: Information from Its Creators	Dan Bricklin and Bob Frankston	danbricklin.com		danbricklin.com	1	12	23
c13-24	Machine Learning: The High-Interest Credit Card of Technical Debt	D. Sculley, Gary Holt and 6 others	NIPS Workshop on Software Engineering for Machine Learning	2014	research.google.com	0	12	24
c13-25	Feral Concurrency Control: An Empirical Investigation of Modern Application Integrity	Peter Bailis, Alan Fekete and 4 others	ACM International Conference on Management of Data	2015	bailis.org	0	12	25
c13-26	Re: Need for Macros (Was Re: Icon)	Guy Steele	ll1-discuss	2001	people.csail.mit.edu	1	12	26
c13-27	Microservices in a Streaming World	Ben Stopford	QCon London	2016	infoq.com	3	12	27
c13-28	Building Event-Driven Microservices*, 2nd edition	Adam Bellemare		2025	learning.oreilly.com	2	12	28
c13-29	Why Microservices Should Be Event Driven: Autonomy vs Authority	Christian Posta	blog.christianposta.com	2016	blog.christianposta.com	1	12	29
c13-30	Designing Offline-First Web Apps	Alex Feyerke	alistapart.com	2013	alistapart.com	1	12	30
c13-31	Turning the Database Inside-out with Apache Samza	Martin Kleppmann	Strange Loop	2014	martin.kleppmann.com	0	12	31
c13-32	Global Sequence Protocol: A Robust Abstraction for Replicated Shared State	Sebastian Burckhardt, Daan Leijen and 2 others	29th European Conference on Object-Oriented Programming	2015	drops.dagstuhl.de	0	12	32
c13-33	Asynchronous Functional Reactive Programming for GUIs	Evan Czaplicki and Stephen Chong	34th ACM SIGPLAN Conference on Programming Language Design and Implementation	2013	people.seas.harvard.edu	0	12	33
c13-34	Unifying Stream Processing and Interactive Queries in Apache Kafka	Eno Thereska, Damian Guy and 2 others	confluent.io	2016	confluent.io	1	12	34
c13-35	Dataflow as Database	Frank McSherry	github.com	2016	github.com	6	12	35
c13-36	I See What You Mean	Peter Alvaro	Strange Loop	2015	youtube.com	3	12	36
c13-37	Trident: A High-Level Abstraction for Realtime Computation	Nathan Marz	blog.x.com	2012	blog.x.com	1	12	37
c13-38	Low Latency Web Scale Fraud Prevention with Apache Samza, Kafka and Friends	Edi Bice	Merchant Risk Council MRC Vegas Conference	2016	slideshare.net	0	12	38
c13-39	The Accidental DBA	Charity Majors	charity.wtf	2016	charity.wtf	1	12	39
c13-40	Semantic Conditions for Correctness at Different Isolation Levels	Arthur J. Bernstein, Philip M. Lewis and Shiyong Lu	16th International Conference on Data Engineering	2000	dsf.berkeley.edu	0	12	40
c13-41	Automating the Detection of Snapshot Isolation Anomalies	Sudhir Jorwekar, Alan Fekete and 2 others	33rd International Conference on Very Large Data Bases	2007	vldb.org	0	12	41
c13-42	Distributed Systems Safety Research	Kyle Kingsbury	jepsen.io		jepsen.io	1	12	42
c13-43	Redirect After Post	Michael Jouravlev	theserverside.com	2004	theserverside.com	1	12	43
c13-44	End-to-End Arguments in System Design	Jerome H. Saltzer, David P. Reed and David D. Clark	ACM Transactions on Computer Systems	1984	groups.csail.mit.edu	0	12	44
c13-45	Coordination Avoidance in Database Systems	Peter Bailis, Alan Fekete and 4 others	Proceedings of the VLDB Endowment	2014	vldb.org	0	12	45
c13-46	Strong Consistency in Manhattan	Alex Yarmula	blog.x.com	2016	blog.x.com	1	12	46
c13-47	Online Event Processing: Achieving Consistency Where Distributed Transactions Have Failed	Martin Kleppmann, Alastair R. Beresford and Boerge Svingen	Communications of the ACM	2019	martin.kleppmann.com	0	12	47
c13-48	The Transaction Concept: Virtues and Limitations	Jim Gray	7th International Conference on Very Large Data Bases	1981	jimgray.azurewebsites.net	0	12	48
c13-49	Sagas	Hector Garcia-Molina and Kenneth Salem	ACM International Conference on Management of Data	1987	cs.cornell.edu	0	12	49
c13-50	Bug #73170: Duplicates in Unique Secondary Index Because of Fix of Bug#68021	Annamalai Gurusami and Daniel Price	bugs.mysql.com	2014	bugs.mysql.com	1	12	50
c13-51	Postgres Serializability Bug	Gary Fredericks	github.com	2015	github.com	6	12	51
c13-52	HDFS DataNode Scanners and Disk Checker Explained	Xiao Chen	blog.cloudera.com	2016	cloudera.com	1	12	52
c13-53	How Does Ceph Scrubbing Work?	Daniel Persson	youtube.com	2022	youtube.com	3	12	53
c13-54	Getting Real About Distributed System Reliability	Jay Kreps	blog.empathybox.com	2012	blog.empathybox.com	1	12	54
c13-55	The LMAX Architecture	Martin Fowler	martinfowler.com	2011	martinfowler.com	1	12	55
c13-56	Move Fast with Confidence	Sam Stokes	five-eights.com	2016	five-eights.com	1	12	56
c13-57	A Digital Signature Based on a Conventional Encryption Function	Ralph C. Merkle	CRYPTO '87	1987	people.eecs.berkeley.edu	0	12	57
c13-58	Certificate Transparency	Ben Laurie	ACM Queue	2014	queue.acm.org	0	12	58
c13-59	Enhanced Certificate Transparency and End-to-End Encrypted Mail	Mark D. Ryan	Network and Distributed System Security Symposium	2014	ndss-symposium.org	0	12	59
c14-1	What If Data Is a Bad Idea?	David Schmudde	schmud.de	2024	schmud.de	1	13	1
c14-2	ACM Code of Ethics and Professional Conduct	Association for Computing Machinery	acm.org	2018	acm.org	1	13	2
c14-3	Making Hard Choices: The Quest for Ethics in Machine Learning	Igor Perisic	linkedin.com	2016	linkedin.com	1	13	3
c14-4	Algorithm Writers Need a Code of Conduct	John Naughton	theguardian.com	2015	theguardian.com	1	13	4
c14-5	Ethical AI Is Not About AI	Deborah G. Johnson and Mario Verdicchio	Communications of the ACM	2023	cacm.acm.org	0	13	5
c14-6	'Good' Isn’t Good Enough	Ben Green	NeurIPS Joint Workshop on AI for Social Good	2019	benzevgreen.com	0	13	6
c14-7	Ethics as a Participatory and Iterative Process	Marc Steen	Communications of the ACM	2023	cacm.acm.org	0	13	7
c14-8	What Happens When Big Data Blunders?	Logan Kugler	Communications of the ACM	2016	cacm.acm.org	0	13	8
c14-9	Algorithms and the Criminal Justice System: Promises and Challenges in Deployment and Research	Miri Zilka	University of Cambridge Security Seminar Series	2023	cl.cam.ac.uk	3	13	9
c14-10	Welcome to Algorithmic Prison	Bill Davidow	theatlantic.com	2014	theatlantic.com	1	13	10
c14-11	They're Watching You at Work	Don Peck	theatlantic.com	2013	theatlantic.com	1	13	11
c14-12	Is an Algorithm Any Less Racist Than a Human?	Leigh Alexander	theguardian.com	2016	theguardian.com	1	13	12
c14-13	How a Machine Learns Prejudice	Jesse Emspak	scientificamerican.com	2016	scientificamerican.com	1	13	13
c14-14	Joint Statement on Enforcement Efforts Against Discrimination and Bias in Automated Systems	Rohit Chopra, Kristen Clarke and 2 others	ftc.gov	2023	ftc.gov	1	13	14
c14-15	The Moral Economy of Tech	Maciej Cegłowski	idlewords.com	2016	idlewords.com	1	13	15
c14-16	Artificial Intelligence in Healthcare Is Racist	Greg Nichols	zdnet.com	2020	zdnet.com	1	13	16
c14-17	Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy	Cathy O'Neil		2016		2	13	17
c14-18	Make Algorithms Accountable	Julia Angwin	nytimes.com	2016	nytimes.com	1	13	18
c14-19	European Union Regulations on Algorithmic Decision-Making and a ‘Right to Explanation	Bryce Goodman and Seth Flaxman	ICML Workshop on Human Interpretability in Machine Learning	2016	arxiv.org	0	13	19
c14-20	A Review of the Data Broker Industry: Collection, Use, and Sale of Consumer Data for Marketing Purposes	United States Senate Committee on Commerce, Science and 4 others	commerce.senate.gov	2013	commerce.senate.gov	4	13	20
c14-21	Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market	Stephanie Assad, Robert Clark and 2 others	Journal of Political Economy	2024	economics.yale.edu	0	13	21
c14-22	Thinking in Systems: A Primer	Donella H. Meadows and Diana Wright		2008		2	13	22
c14-23	Listening to a 'big data’/‘data science' talk. Mentally translating 'data' to '‘surveillance': ‘…everything starts with surveillance…'	Daniel J. Bernstein	x.com	2015	x.com	1	13	23
c14-24	Why Software Is Eating the World	Marc Andreessen	a16z.com	2011	a16z.com	1	13	24
c14-25	Internet of Things’ Security Is Hilariously Broken and Getting Worse	J. M. Porup	arstechnica.com	2016	arstechnica.com	1	13	25
c14-26	Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World	Bruce Schneier		2015	schneier.com	2	13	26
c14-27	Nothing to Hide	The Grugq	grugq.tumblr.com	2016	grugq.tumblr.com	1	13	27
c14-28	FTC Takes Action Against General Motors for Sharing Drivers’ Precise Location and Driving Behavior Data Without Consent	Federal Trade Commission	ftc.gov	2025	ftc.gov	1	13	28
c14-29	Deep-Spying: Spying Using Smartwatch and Deep Learning	Tony Beltramelli	arxiv.org	2015	arxiv.org	0	13	29
c14-30	Big Other: Surveillance Capitalism and the Prospects of an Information Civilization	Shoshana Zuboff	Journal of Information Technology	2015	papers.ssrn.com	0	13	30
c14-31	Beyond Consent: Improving Data Protection Through Consumer Protection Law	Michiel Rhoen	Internet Policy Review	2016	policyreview.info	0	13	31
c14-32	Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016		Official Journal of the European Union	2016	eur-lex.europa.eu	1	13	32
c14-33	What Is the ‘Legitimate Interests’ Basis?	UK Information Commissioner's Office	ico.org.uk		ico.org.uk	1	13	33
c14-34	How a Handful of Tech Companies Control Billions of Minds Every Day	Tristan Harris	TED2017	2017	ted.com	0	13	34
c14-35	Consequences of an Insightful Algorithm	Carina C. Zona	GOTO Berlin	2016	youtube.com	3	13	35
c14-36	Should We Treat Data as Labor? Moving Beyond ‘Free	Imanol Arrieta Ibarra, Leonard Goff and 3 others	American Economic Association Papers Proceedings	2018	aeaweb.org	1	13	36
c14-37	Data Is a Toxic Asset, So Why Not Throw It Out?	Bruce Schneier	schneier.com	2016	schneier.com	1	13	37
c14-38	Data is not toxic—which implies no benefit—but rather hazardous material, where we must balance need vs. want	Cory Scott	x.com	2016	x.com	1	13	38
c14-39	Data Is The New Uranium—Incredibly Powerful And Amazingly Dangerous	Mark Pesce	theregister.com	2024	theregister.com	1	13	39
c14-40	Mission Creep: When Everything Is Terrorism	Bruce Schneier	schneier.com	2013	schneier.com	1	13	40
c14-41	Big Data: Big Power Shifts?	Lena Ulbricht and Maximilian von Grafenstein	Internet Policy Review	2016	policyreview.info	0	13	41
c14-42	Facebook and Google: Most Powerful and Secretive Empires We've Ever Known	Ellen P. Goodman and Julia Powles	theguardian.com	2016	theguardian.com	1	13	42
c14-43	The World Is Choking on Digital Pollution	Judy Estrin and Sam Gill	washingtonmonthly.com	2019	washingtonmonthly.com	1	13	43
c14-44	Regulating Mass Surveillance as Privacy Pollution: Learning from Environmental Impact Statements	A. Michael Froomkin	University of Illinois Law Review	2015	repository.law.miami.edu	1	13	44
c14-45	The Early Impact of GDPR Compliance on Display Advertising: The Case of an Ad Publisher	Pengyuan Wang, Li Jiang and Jian Yang	Journal of Marketing Research	2023	openreview.net	0	13	45
c14-46	Don’t Be Fooled by Meta’s Fine for Data Breaches	Johnny Ryan	The Economist	2023	economist.com	1	13	46
c14-47	Your Data Footprint Is Affecting Your Life in Ways You Can’t Even Imagine	Jessica Leber	fastcompany.com	2016	fastcompany.com	1	13	47
c14-48	Haunted by Data	Maciej Cegłowski	idlewords.com	2015	idlewords.com	1	13	48
c14-49	You Are Not What You Read: Librarians Purge User Data to Protect Privacy	Sam Thielman	theguardian.com	2016	theguardian.com	1	13	49
c14-50	It's a cliché that people get into tech to 'change the world.' So then, you have to actually consider what the impact of your work is on the world. The idea that you can or should exclude societal and political discussions in tech is idiotic. It means you're not doing your job	Jez Humble	x.com	2021	x.com	1	13	50