In this Office Hour session, M.C. Srivas will further discuss how to double performance for MapReduce jobs, achieve high-speed data ingestion, and execute HBase apps ten times faster while maintaining consistently low latency.
Srivas is CTO and Founder of MapR Technologies. Previously at Google, he ran one of the major search infrastructure teams 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 semi-structured 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 (now NTAP), and Transarc (now IBM) in building game-changing products that advance the state of the art.
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