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{ eventType: PageViewEvent, timestamp: 1413215518, viewerId: 1234, sessionId: fa1afe101234deadbeef, pageKey: profile-view, viewedProfileId: 4321, trackingKey: invitation-email, …metadata about displayed content… }

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{ eventType: PageViewEvent, timestamp: 1413215518, viewerId: 1234, sessionId: fa1afe101234deadbeef, pageKey: profile-view, viewedProfileId: 4321, trackingKey: invitation-email, …metadata about displayed content… }

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key = urn:linkedin:profile:1234 value = { eventType: ProfileEditEvent, timestamp: 1413215518, profile: { location: “Cambridge, UK”, industry: “Software”, positions: [ {job_title: “Author”, company: “O’Reilly”}, … ]}}

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key = urn:linkedin:profile:1234 value = { eventType: ProfileEditEvent, timestamp: 1413215518, profile: { location: “Cambridge, UK”, industry: “Software”, positions: [ {job_title: “Author”, company: “O’Reilly”}, … ]}}

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References (fun stuff to read) 1.  Martin Kleppmann: “Designing data-intensive applications.” O’Reilly Media, to appear in 2015. http:// dataintensive.net 2.  Jay Kreps: “Why local state is a fundamental primitive in stream processing.” 31 July 2014. http:// radar.oreilly.com/2014/07/why-local-state-is-a-fundamental-primitive-in-stream-processing.html 3.  Jay Kreps: “I ♥︎ Logs.” O'Reilly Media, September 2014. http://shop.oreilly.com/product/ 0636920034339.do 4.  Nathan Marz and James Warren: “Big Data: Principles and best practices of scalable realtime data systems.” Manning MEAP, to appear January 2015. http://manning.com/marz/ 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.  Martin Kleppmann: “Moving faster with data streams: The rise of Samza at LinkedIn.” 14 July 2014. http://engineering.linkedin.com/stream-processing/moving-faster-data-streams-rise-samza-linkedin 7.  Praveen Neppalli Naga: “Real-time Analytics at Massive Scale with Pinot.” 29 Sept 2014. http:// engineering.linkedin.com/analytics/real-time-analytics-massive-scale-pinot 8.  Shirshanka Das, Chavdar Botev, Kapil Surlaker, et al.: “All Aboard the Databus!,” at ACM Symposium on Cloud Computing (SoCC), October 2012. http://www.socc2012.org/s18-das.pdf 9.  Apache Samza documentation. http://samza.incubator.apache.org 10. Alan Woodward and Martin Kleppmann: “Samza-Luwak Proof of Concept.” 10 November 2014. https://github.com/romseygeek/samza-luwak

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