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Real-Time Recommendations Using Spark Streaming
Recorded at:

| by Elliot Chow on Mar 30, 2017 | NOTICE: The next QCon is in New York Jun 26-30, 2017. Join us!
47:03

Summary
Elliot Chow discusses the data pipeline that they built to process Netflix user activities in real time for the Trending Now row. He shares their experiences with developing, monitoring, and producing a system that uses Kafka, Spark Streaming, and Cassandra.

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Bio

Elliot Chow is a software engineer at Netflix on the Personalization Infrastructure team. Currently, he builds big data systems using a variety of technologies including Scala, Spark (Streaming), Kafka, and Cassandra. He previously worked at eBay and Apple.

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