Skip to content

Latest commit

 

History

History
353 lines (251 loc) · 21.2 KB

chapter-11-refs.md

File metadata and controls

353 lines (251 loc) · 21.2 KB
Raw

Designing Data-Intensive Applications

Chapter 11 References

  1. Tyler Akidau, Robert Bradshaw, Craig Chambers, et al.: “The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing,” Proceedings of the VLDB Endowment, volume 8, number 12, pages 1792–1803, August 2015. doi:10.14778/2824032.2824076

  2. Harold Abelson, Gerald Jay Sussman, and Julie Sussman: Structure and Interpretation of Computer Programs, 2nd edition. MIT Press, 1996. ISBN: 978-0-262-51087-5, available online at mitpress.mit.edu

  3. Patrick Th. Eugster, Pascal A. Felber, Rachid Guerraoui, and Anne-Marie Kermarrec: “The Many Faces of Publish/Subscribe,” ACM Computing Surveys, volume 35, number 2, pages 114–131, June 2003. doi:10.1145/857076.857078

  4. Joseph M. Hellerstein and Michael Stonebraker: Readings in Database Systems, 4th edition. MIT Press, 2005. ISBN: 978-0-262-69314-1, available online at redbook.cs.berkeley.edu

  5. Don Carney, Uğur Çetintemel, Mitch Cherniack, et al.: “Monitoring Streams – A New Class of Data Management Applications,” at 28th International Conference on Very Large Data Bases (VLDB), August 2002.

  6. Matthew Sackman: “Pushing Back,” lshift.net, May 5, 2016.

  7. Vicent Martí: “Brubeck, a statsd-Compatible Metrics Aggregator,” githubengineering.com, June 15, 2015.

  8. Seth Lowenberger: “MoldUDP64 Protocol Specification V 1.00,” nasdaqtrader.com, July 2009.

  9. Pieter Hintjens: ZeroMQ – The Guide. O'Reilly Media, 2013. ISBN: 978-1-449-33404-8

  10. Ian Malpass: “Measure Anything, Measure Everything,” codeascraft.com, February 15, 2011.

  11. Dieter Plaetinck: “25 Graphite, Grafana and statsd Gotchas,” grafana.com, March 3, 2016.

  12. Jeff Lindsay: “Web Hooks to Revolutionize the Web,” progrium.com, May 3, 2007.

  13. Jim N. Gray: “Queues Are Databases,” Microsoft Research Technical Report MSR-TR-95-56, December 1995.

  14. Mark Hapner, Rich Burridge, Rahul Sharma, et al.: “JSR-343 Java Message Service (JMS) 2.0 Specification,” jms-spec.java.net, March 2013.

  15. Sanjay Aiyagari, Matthew Arrott, Mark Atwell, et al.: “AMQP: Advanced Message Queuing Protocol Specification,” Version 0-9-1, November 2008.

  16. “Google Cloud Pub/Sub: A Google-Scale Messaging Service,” cloud.google.com, 2016.

  17. “Apache Kafka 0.9 Documentation,” kafka.apache.org, November 2015.

  18. Jay Kreps, Neha Narkhede, and Jun Rao: “Kafka: A Distributed Messaging System for Log Processing,” at 6th International Workshop on Networking Meets Databases (NetDB), June 2011.

  19. “Amazon Kinesis Streams Developer Guide,” docs.aws.amazon.com, April 2016.

  20. Leigh Stewart and Sijie Guo: “Building DistributedLog: Twitter’s High-Performance Replicated Log Service,” blog.twitter.com, September 16, 2015.

  21. “DistributedLog Documentation,” Apache Software Foundation, distributedlog.io.

  22. Jay Kreps: “Benchmarking Apache Kafka: 2 Million Writes Per Second (On Three Cheap Machines),” engineering.linkedin.com, April 27, 2014.

  23. Kartik Paramasivam: “How We’re Improving and Advancing Kafka at LinkedIn,” engineering.linkedin.com, September 2, 2015.

  24. Jay Kreps: “The Log: What Every Software Engineer Should Know About Real-Time Data's Unifying Abstraction,” engineering.linkedin.com, December 16, 2013.

  25. Shirshanka Das, Chavdar Botev, Kapil Surlaker, et al.: “All Aboard the Databus!,” at 3rd ACM Symposium on Cloud Computing (SoCC), October 2012.

  26. Yogeshwer Sharma, Philippe Ajoux, Petchean Ang, et al.: “Wormhole: Reliable Pub-Sub to Support Geo-Replicated Internet Services,” at 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI), May 2015.

  27. P. P. S. Narayan: “Sherpa Update,” developer.yahoo.com, June 8, .

  28. Martin Kleppmann: “Bottled Water: Real-Time Integration of PostgreSQL and Kafka,” martin.kleppmann.com, April 23, 2015.

  29. Ben Osheroff: “Introducing Maxwell, a mysql-to-kafka Binlog Processor,” developer.zendesk.com, August 20, 2015.

  30. Randall Hauch: “Debezium 0.2.1 Released,” debezium.io, June 10, 2016.

  31. Prem Santosh Udaya Shankar: “Streaming MySQL Tables in Real-Time to Kafka,” engineeringblog.yelp.com, August 1, 2016.

  32. “Mongoriver,” Stripe, Inc., github.com, September 2014.

  33. Dan Harvey: “Change Data Capture with Mongo + Kafka,” at Hadoop Users Group UK, August 2015.

  34. “Oracle GoldenGate 12c: Real-Time Access to Real-Time Information,” Oracle White Paper, March 2015.

  35. “Oracle GoldenGate Fundamentals: How Oracle GoldenGate Works,” Oracle Corporation, youtube.com, November 2012.

  36. Slava Akhmechet: “Advancing the Realtime Web,” rethinkdb.com, January 27, 2015.

  37. “Firebase Realtime Database Documentation,” Google, Inc., firebase.google.com, May 2016.

  38. “Apache CouchDB 1.6 Documentation,” docs.couchdb.org, 2014.

  39. Matt DeBergalis: “Meteor 0.7.0: Scalable Database Queries Using MongoDB Oplog Instead of Poll-and-Diff,” info.meteor.com, December 17, 2013.

  40. “Chapter 15. Importing and Exporting Live Data,” VoltDB 6.4 User Manual, docs.voltdb.com, June 2016.

  41. Neha Narkhede: “Announcing Kafka Connect: Building Large-Scale Low-Latency Data Pipelines,” confluent.io, February 18, 2016.

  42. Greg Young: “CQRS and Event Sourcing,” at Code on the Beach, August 2014.

  43. Martin Fowler: “Event Sourcing,” martinfowler.com, December 12, 2005.

  44. Vaughn Vernon: Implementing Domain-Driven Design. Addison-Wesley Professional, 2013. ISBN: 978-0-321-83457-7

  45. H. V. Jagadish, Inderpal Singh Mumick, and Abraham Silberschatz: “View Maintenance Issues for the Chronicle Data Model,” at 14th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS), May 1995. doi:10.1145/212433.220201

  46. “Event Store 3.5.0 Documentation,” Event Store LLP, docs.geteventstore.com, February 2016.

  47. Martin Kleppmann: Making Sense of Stream Processing. Report, O'Reilly Media, May 2016.

  48. Sander Mak: “Event-Sourced Architectures with Akka,” at JavaOne, September 2014.

  49. Julian Hyde: personal communication, June 2016.

  50. Ashish Gupta and Inderpal Singh Mumick: Materialized Views: Techniques, Implementations, and Applications. MIT Press, 1999. ISBN: 978-0-262-57122-7

  51. Timothy Griffin and Leonid Libkin: “Incremental Maintenance of Views with Duplicates,” at ACM International Conference on Management of Data (SIGMOD), May 1995. doi:10.1145/223784.223849

  52. Pat Helland: “Immutability Changes Everything,” at 7th Biennial Conference on Innovative Data Systems Research (CIDR), January 2015.

  53. Martin Kleppmann: “Accounting for Computer Scientists,” martin.kleppmann.com, March 7, 2011.

  54. Pat Helland: “Accountants Don't Use Erasers,” blogs.msdn.com, June 14, 2007.

  55. Fangjin Yang: “Dogfooding with Druid, Samza, and Kafka: Metametrics at Metamarkets,” metamarkets.com, June 3, 2015.

  56. Gavin Li, Jianqiu Lv, and Hang Qi: “Pistachio: Co-Locate the Data and Compute for Fastest Cloud Compute,” yahoohadoop.tumblr.com, April 13, 2015.

  57. Kartik Paramasivam: “Stream Processing Hard Problems – Part 1: Killing Lambda,” engineering.linkedin.com, June 27, 2016.

  58. Martin Fowler: “CQRS,” martinfowler.com, July 14, 2011.

  59. Greg Young: “CQRS Documents,” cqrs.files.wordpress.com, November 2010.

  60. Baron Schwartz: “Immutability, MVCC, and Garbage Collection,” xaprb.com, December 28, 2013.

  61. Daniel Eloff, Slava Akhmechet, Jay Kreps, et al.: "Re: Turning the Database Inside-out with Apache Samza," Hacker News discussion, news.ycombinator.com, March 4, 2015.

  62. “Datomic Development Resources: Excision,” Cognitect, Inc., docs.datomic.com.

  63. “Fossil Documentation: Deleting Content from Fossil,” fossil-scm.org, 2016.

  64. Jay Kreps: “The irony of distributed systems is that data loss is really easy but deleting data is surprisingly hard,” twitter.com, March 30, 2015.

  65. David C. Luckham: “What’s the Difference Between ESP and CEP?,” complexevents.com, August 1, 2006.

  66. Srinath Perera: “How Is Stream Processing and Complex Event Processing (CEP) Different?,” quora.com, December 3, 2015.

  67. Arvind Arasu, Shivnath Babu, and Jennifer Widom: “The CQL Continuous Query Language: Semantic Foundations and Query Execution,” The VLDB Journal, volume 15, number 2, pages 121–142, June 2006. doi:10.1007/s00778-004-0147-z

  68. Julian Hyde: “Data in Flight: How Streaming SQL Technology Can Help Solve the Web 2.0 Data Crunch,” ACM Queue, volume 7, number 11, December 2009. doi:10.1145/1661785.1667562

  69. “Esper Reference, Version 5.4.0,” EsperTech, Inc., espertech.com, April 2016.

  70. Zubair Nabi, Eric Bouillet, Andrew Bainbridge, and Chris Thomas: “Of Streams and Storms,” IBM technical report, developer.ibm.com, April 2014.

  71. Milinda Pathirage, Julian Hyde, Yi Pan, and Beth Plale: “SamzaSQL: Scalable Fast Data Management with Streaming SQL,” at IEEE International Workshop on High-Performance Big Data Computing (HPBDC), May 2016. doi:10.1109/IPDPSW.2016.141

  72. Philippe Flajolet, Éric Fusy, Olivier Gandouet, and Frédéric Meunier: “HyperLogLog: The Analysis of a Near-Optimal Cardinality Estimation Algorithm,” at Conference on Analysis of Algorithms (AofA), June 2007.

  73. Jay Kreps: “Questioning the Lambda Architecture,” oreilly.com, July 2, 2014.

  74. Ian Hellström: “An Overview of Apache Streaming Technologies,” databaseline.bitbucket.io, March 12, 2016.

  75. Jay Kreps: “Why Local State Is a Fundamental Primitive in Stream Processing,” oreilly.com, July 31, 2014.

  76. Shay Banon: “Percolator,” elastic.co, February 8, 2011.

  77. Alan Woodward and Martin Kleppmann: “Real-Time Full-Text Search with Luwak and Samza,” martin.kleppmann.com, April 13, 2015.

  78. “Apache Storm 2.1.0 Documentation,” storm.apache.org, October 2019.

  79. Tyler Akidau: “The World Beyond Batch: Streaming 102,” oreilly.com, January 20, 2016.

  80. Stephan Ewen: “Streaming Analytics with Apache Flink,” at Kafka Summit, April 2016.

  81. Tyler Akidau, Alex Balikov, Kaya Bekiroğlu, et al.: “MillWheel: Fault-Tolerant Stream Processing at Internet Scale,” at 39th International Conference on Very Large Data Bases (VLDB), August 2013.

  82. Alex Dean: “Improving Snowplow's Understanding of Time,” snowplowanalytics.com, September 15, 2015.

  83. “Windowing (Azure Stream Analytics),” Microsoft Azure Reference, msdn.microsoft.com, April 2016.

  84. “State Management,” Apache Samza 0.10 Documentation, samza.apache.org, December 2015.

  85. Rajagopal Ananthanarayanan, Venkatesh Basker, Sumit Das, et al.: “Photon: Fault-Tolerant and Scalable Joining of Continuous Data Streams,” at ACM International Conference on Management of Data (SIGMOD), June 2013. doi:10.1145/2463676.2465272

  86. Martin Kleppmann: “Samza Newsfeed Demo,” github.com, September 2014.

  87. Ben Kirwin: “Doing the Impossible: Exactly-Once Messaging Patterns in Kafka,” ben.kirw.in, November 28, 2014.

  88. Pat Helland: “Data on the Outside Versus Data on the Inside,” at 2nd Biennial Conference on Innovative Data Systems Research (CIDR), January 2005.

  89. Ralph Kimball and Margy Ross: The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd edition. John Wiley & Sons, 2013. ISBN: 978-1-118-53080-1

  90. Viktor Klang: “I'm coining the phrase 'effectively-once' for message processing with at-least-once + idempotent operations,” twitter.com, October 20, 2016.

  91. Matei Zaharia, Tathagata Das, Haoyuan Li, et al.: “Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters,” at 4th USENIX Conference in Hot Topics in Cloud Computing (HotCloud), June 2012.

  92. Kostas Tzoumas, Stephan Ewen, and Robert Metzger: “High-Throughput, Low-Latency, and Exactly-Once Stream Processing with Apache Flink,” ververica.com, August 5, 2015.

  93. Paris Carbone, Gyula Fóra, Stephan Ewen, et al.: “Lightweight Asynchronous Snapshots for Distributed Dataflows,” arXiv:1506.08603 [cs.DC], June 29, 2015.

  94. Ryan Betts and John Hugg: Fast Data: Smart and at Scale. Report, O'Reilly Media, October 2015.

  95. Flavio Junqueira: “Making Sense of Exactly-Once Semantics,” at Strata+Hadoop World London, June 2016.

  96. Jason Gustafson, Flavio Junqueira, Apurva Mehta, Sriram Subramanian, and Guozhang Wang: “KIP-98 – Exactly Once Delivery and Transactional Messaging,” cwiki.apache.org, November 2016.

  97. Pat Helland: “Idempotence Is Not a Medical Condition,” Communications of the ACM, volume 55, number 5, page 56, May 2012. doi:10.1145/2160718.2160734

  98. Jay Kreps: “Re: Trying to Achieve Deterministic Behavior on Recovery/Rewind,” email to samza-dev mailing list, September 9, 2014.

  99. E. N. (Mootaz) Elnozahy, Lorenzo Alvisi, Yi-Min Wang, and David B. Johnson: “A Survey of Rollback-Recovery Protocols in Message-Passing Systems,” ACM Computing Surveys, volume 34, number 3, pages 375–408, September 2002. doi:10.1145/568522.568525

  100. Adam Warski: “Kafka Streams – How Does It Fit the Stream Processing Landscape?,” softwaremill.com, June 1, 2016.