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Streaming for Personalization Datasets at Netflix
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| by Shriya Arora Follow 0 Followers on Jul 26, 2017 |
41:46

Summary
Shriya Arora talks about the experiences Netflix’s Personalization Data team had in stream processing unbounded datasets and provides guidance on how to determine whether a streaming solution is a right fit for our problem. She compares microbatch vs event-based approaches with Apache Spark and Apache Flink and discusses the impact moving to stream processing had on the team, the challenges faced.

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Bio

Shriya Arora is a senior data engineer at Netflix.

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

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