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Apache: Big Data Europe 2016
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Monday, November 14 • 11:00 - 11:50
Hive 2.0 SQL, Speed, Scale - Alan Gates, Hortonworks

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Apache Hive is the most commonly used SQL interface for Hadoop. To meet users data warehousing needs it must scale to petabytes of data, provide the necessary SQL, and perform in interactive time. The Hive community ihas produced a 2.0 release of Hive that includes significant improvements. These include:

* LLAP, a daemon layer that enables sub-second response time.

* HBase to store Hiveäó»s metadata, resulting in significantly reduced planning time.

* Using Apache Calcite to build a cost based optimizer

* Adding procedural SQL

* Improvements in using Spark as an engine for Hive execution

This talk will cover the use cases these changes enable, the architectural changes being made in Hive as part of building these features, and share performance test results on how these improvements are speeding up Hive.

Speakers
avatar for Alan Gates

Alan Gates

Co-founder and Architect, Hortonworks
Alan is a founder of Hortonworks and an original member of the engineering team that took Pig from a Yahoo! Labs research project to a successful Apache open source project. Alan has done extensive work in Hive, including adding ACID transactions. Alan has a BS in Mathematics from Oregon State University and a MA in Theology from Fuller Theological Seminary. He is also the author of Programming Pig, a book from O'Reilly Press.


Monday November 14, 2016 11:00 - 11:50
Nervion/Arenal II/III

Attendees (28)