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Shift into High Gear: Dramatically Improve Hadoop and NoSQL Performance

M. C. Srivas (Bridgewater Associates )
Sponsored Nassau Suite
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Slides:   1-PDF 

It’s time to get out of the slow lane. In this session, you’ll learn how to drive the performance of data ingestion, MapReduce jobs, scalable NoSQL, and real-time streaming.

Faster performance yields immediate business benefits and more efficient use of system resources for a given workload, yet performance is often poorly understood. We’ll step through how to double performance for MapReduce jobs, achieve high-speed data ingestion, and execute HBase apps ten times faster while maintaining consistently low latency.

This session is sponsored by MapR

Photo of M. C. Srivas

M. C. Srivas

Bridgewater Associates

Prior to co-founding MapR, Srivas ran one of the major search infrastructure teams at Google where GFS, BigTable and MapReduce were used extensively. He wanted to provide that powerful capability to everyone, and started MapR on his vision to build the next-generation platform for Big Data. His strategy was to evolve Hadoop and bring simplicity of use, extreme speed and complete reliability to Hadoop users everywhere, and make it seamlessly easy for enterprises to use this powerful new way to get deep insights. Srivas brings to MapR his experiences at Google, Spinnaker Networks, Transarc in building game-changing products that advance the state of the art.

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Marek K Kolodziej
10/30/2013 4:33pm EDT

Would it be possible to post the slides here, like the other speakers have?

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