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Tuesday, November 4 • 11:15 - 11:55
The Perfect Match: Apache Spark Meets Swift

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Apache Spark is a fast and general engine for large-scale data processing that provides efficient support for general data processing, ETL, streaming, and machine learning. It is capable of running analytic jobs up to 100X faster than Hadoop MapReduce. In this talk, we will introduce Spark and the various storage systems Spark can operate on.

In particular, we focus on the integration between Spark and OpenStack Swift, demonstrating the advanced models for executing Spark jobs directly on Swift objects.

Speakers
avatar for Michael Factor

Michael Factor

IBM Fellow, Storage and Systems, IBM, Haifa Research Lab
Dr. Michael Factor is an IBM Fellow with a focus on storage and systems and is the CTO for Cloud Storage Services.   Michael has presented on a range of storage topics at three of the last four OpenStack summits. His interest in cloud storage includes a deep focus on object storage (aka fixed content clouds) as well as storage support for compute clouds; this work is directed towards consumption via OpenStack. He takes a leading role in... Read More →
avatar for Gil Vernik

Gil Vernik

cloud research staff member at IBM
Dr. Vernik Gil is as a researcher in IBM, storage clouds, security and analytics group. He received his PhD degree at Mathematics from the University of Haifa and completed his post doctoral position, in the Christian-Albrechts-Universit
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Reynold Xin

co-founder of Databricks
Reynold is a co-founder and the Chief Architect of Databricks.


Tuesday November 4, 2014 11:15 - 11:55
Room 251

Attendees (75)