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Slide 78 text
References
1. Jay Kreps: “I ♥︎ Logs.” O'Reilly Media, September 2014. http://shop.oreilly.com/product/0636920034339.do
2. Jay Kreps: “Putting Apache Kafka to use: A practical guide to building a stream data platform.” 25 February 2015.
http://blog.confluent.io/2015/02/25/stream-data-platform-1/
3. Martin Kleppmann: “Designing data-intensive applications.” O’Reilly Media, to appear. http://dataintensive.net
4. Martin Kleppmann: “Turning the database inside-out with Apache Samza.” 4 March 2015. http://blog.confluent.io/
2015/03/04/turning-the-database-inside-out-with-apache-samza/
5. Jakob Homan: “Real time insights into LinkedIn's performance using Apache Samza.” 18 Aug 2014. http://
engineering.linkedin.com/samza/real-time-insights-linkedins-performance-using-apache-samza
6. Nathan Marz and James Warren: “Big Data: Principles and best practices of scalable realtime data systems.” Manning,
April 2015. ISBN 9781617290343, https://www.manning.com/books/big-data
7. Shirshanka Das, Chavdar Botev, Kapil Surlaker, et al.: “All Aboard the Databus!,” at ACM Symposium on Cloud
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8. Mahesh Balakrishnan, Dahlia Malkhi, Ted Wobber, et al.: “Tango: Distributed Data Structures over a Shared Log,” at
24th ACM Symposium on Operating Systems Principles (SOSP), pages 325–340, November 2013. http://
research.microsoft.com/pubs/199947/Tango.pdf
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10. Roshan Sumbaly, Jay Kreps, and Sam Shah: “The ‘Big Data’ Ecosystem at LinkedIn,” at ACM International Conference
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11. Pat Helland: “Immutability Changes Everything,” at 7th Biennial Conference on InnovaBve Data Systems Research
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12. Apache Kafka documentation. http://kafka.apache.org/documentation.html