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If you need scalable, low-latency Big Data (think real-time analytics, logistics, telemetry, streaming data, etc.) then you need to get up to speed on In-Memory computing.  Shuttling data back and forth to disks will simply no longer suffice in the age of Big Data.  Luckily, costs for DRAM continue to drop, making In-Memory Computing on Big Data not only feasible, but absolutely necessary for companies stay competitive.  This group is for people who want to get ahead of the Big Data curve through In-Memory Computing.

If you are working with or wondering about products like SAP Hana, GridGain's In-Memory Computing stack, Oracle Coherence and Times Ten, GigaSpaces XAP, VMWare SQLFire and GemFire, Hazelcast, etc. - this is the group for you.


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  • Tom Diederich founded Bay Area In-Memory Computing Meetup

    on June 25

 
Founded Jun 25, 2013

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