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Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year
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| by Peter Bakas Follow 0 Followers on May 19, 2016 |
40:32

Summary
Peter Bakas presents in detail how Netflix has used Kafka, Samza, Docker, and Linux to implement a multi-tenant pipeline processing 700B events/day in the Amazon AWS cloud.

Bio

Peter Bakas leads the Real Time Data Infrastructure team at Netflix. His team is responsible for building common infrastructure to collect, transport, aggregate, process and visualize over 700 billion events a day. Prior to Netflix, Peter has built and led the teams responsible for developing, deploying, scaling and managing some the world's largest platforms at Ooyala, Yahoo! and PayPal.

Global Big Data Conference's vendor agnostic Global Data Science Conference is held on March 7th, March 8th & March 9th, 2016 on all industry verticals. The Conference allows practitioners to discuss data science through effective use of various data management techniques.

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