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Опубликовано 14 ноября 2014, 19:59
As Netflix expands their services to more countries, devices, and content, they continue to evolve their big data analytics platform to accommodate the increasing needs of product and consumer insights. This year, Netflix re-innovated their big data platform: they upgraded to Hadoop 2, transitioned to the Parquet file format, experimented with Pig on Tez for the ETL workload, and adopted Presto as their interactive querying engine. In this session, Netflix discusses their latest architecture, how they built it on the Amazon EMR infrastructure, the contributions put into the open source community, as well as some performance numbers for running a big data warehouse with Amazon S3.
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