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Monday, November 17 • 10:30am - 11:20am
Apache Tez - A New Chapter In Hadoop Data Processing - Hitesh Shah, Hortonworks

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Apache Tez is a modern data processing engine designed for YARN on Apache Hadoop 2. Tez aims to provide high performance and efficiency out of the box, across the spectrum of low latency queries and heavy-weight batch processing. It provides a sophisticated topology API, advanced scheduling and concurrency control & fault tolerance. With a clear separation between the logical app layer and the physical data movement layer, Tez is designed from the ground up to be a platform on top of which a variety of domain specific applications can be built. Tez has pluggable control and data planes that allow users to plug in custom data transfer technologies, concurrency-control and scheduling policies to meet their exact requirements.

The talk will cover real use cases from adopters like Hive, Pig and Cascading and provide data to show the performance of Tez.


Hitesh Shah

Hortonworks Inc.
Hitesh Shah currently works on various things related to Apache Hadoop at Hortonworks with his primary focus on Apache Tez and Apache Hadoop YARN. He is a PMC member and committer for the Apache Hadoop, Tez and Ambari projects. Earlier to that, he spent close to a decade at Yahoo... Read More →

Monday November 17, 2014 10:30am - 11:20am CET

Attendees (1)