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MapR Closes the Big Data-to-Action Loop

MapR Closes the Big Data-to-Action Loop

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Everyone knows the time from data-to-action can be critical to winning business, regardless of the variety, velocity, variability and volume of information involved in the process.

And in a world where data is created not only at a pace that is challenging to even ponder but also streams from the Internet of Things (IoT), data lakes are so broad and so deep that making sense of anything in them in real time and reacting accordingly seems unfathomable. Add globally distributed data, and forget about it.

Or maybe not. Because MapR’s latest release, which includes Hadoop has been built for the real time, data-centric enterprise. It leverages table replication features designed to extend access to “big and fast” data enabling multiple instances to be updated in different locations, with all the changes synchronized across them.

“Real time is not just about running a query. It’s also about how and where and how quickly information is processed and the action an organization is going to take,” said Jack Norris, the MapR’s chief marketing officer.

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