"Gartner says in-memory computing is speeding its way toward mainstream adoption..."
-- Craig Stedman
in-memory analytics from whatis.com
analytics is an approach to querying data when it resides in a computer's random
access memory (RAM), as opposed to querying data that is stored on physical
disks. This results in vastly shortened query response times, allowing
business intelligence and analytic applications to support faster business
As the cost of RAM declines, in-memory analytics is becoming feasible for many businesses. BI and analytic applications have long supported caching data in RAM, but older 32-bit operating systems provided only 4 GB of addressable memory. Newer 64-bit operating systems, with up to 1 terabyte addressable memory (and perhaps more in the future), have made it possible to cache large volumes of data -- potentially an entire data warehouse or data mart -- in a computer's RAM
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