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Big Data Platform as a Service at Netflix

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Summary

Jeff Magnusson takes a deep dive into key services of Netflix’s “data platform as a service” architecture, including RESTful services that: provide comprehensive metadata management across data sources (Franklin); enable visualization and caching of results of Hadoop jobs (Sting); and visualize the execution plans produced by languages such as Pig and Hive (Lipstick).

Bio

Jeff Magnusson heads up the Data Platform Architecture group at Netflix, a team responsible for the design and creation of services and APIs to make access to big data at Netflix as intuitive, efficient, and self-serve as possible. Prior to joining Netflix, he was developing data analytics software at a startup in Austin. Jeff holds a PhD from the University of Florida.

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Recorded at:

Nov 18, 2013

This content is in the Enterprise Architecture topic

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