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Performing Advanced Analytics on Relational Data with Spark SQL

Posted By: Max-X
Performing Advanced Analytics on Relational Data with Spark SQL

Performing Advanced Analytics on Relational Data with Spark SQL
EngLish | .FLV | Audio: aac, 44100 Hz, stereo | Video: h264, yuv420p, 1280x720, 30.00 fps | 103MB
Genre: E-Learning

In this event, we'll examine Spark SQL, a new Alpha component that is part of the Apache Spark 1.0 release. Spark SQL lets developers natively query data stored in both existing RDDs and external sources such as Apache Hive. A key feature of Spark SQL is the ability to blur the lines between relational tables and RDDs, making it easy for developers to intermix SQL commands that query external data with complex analytics. In addition to Spark SQL, we'll explore the Catalyst optimizer framework, which allows Spark SQL to automatically rewrite query plans to execute more efficiently.
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Performing Advanced Analytics on Relational Data with Spark SQL


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