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Analytics and In-Memory Databases Are Changing Data Centers

Jan 03, 2011, 20:36 (0 Talkback[s])
(Other stories by Henry Newman)

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"Traditional databases, with index files and table spaces on disk and paging tables into memory, are becoming a thing of the past. Between search engines, which use large clusters of hardware and keep everything in memory, and memory-based databases, which basically use storage as just backup for memory, traditional databases and storage are becoming less important. Today search engines and some databases scale out not by adding storage, but by adding 1U servers.

"With big vendors like Microsoft and SAP buying into in-memory analytics to solve Big Data challenges, the big question for IT is what this trend will mean for the traditional data center infrastructure. Will storage, even flash drives, be needed in the future, given the requirement for real-time data analysis and current trends in design for real-time data analytics? Or will storage move from the heart of data centers and become merely a means of backup and recovery for critical real-time apps? Remember, we are not discussing large data warehouses and databases that do not have a need for speed, but the real-time data analytics market, which has become something of an obsession in the last couple of years as companies try to do more with less and look to their vast troves of data for competitive advantage."

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