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Unlocking Your Data With In-Memory Computing

The importance of In-Memory computing in the Big Data era

3Sep

If you were to search ‘Big Data’ on Google you can guarantee that for every article singing its praises there’s one condemning it as a sham, an irritating buzzword, or quite simply, a development unworthy of company time and money. But Big Data success stories are not rare; on the contrary, they’re a reoccurring theme whereby significant competitive advantages are achieved - just look at the retail industry. But with so much ambiguity surrounding Big Data, it throws up the possibility that the companies preaching its negativity are missing a trick.

It’s quite feasible that the trick they’re missing is In-memory computing. This data management tool has been the calling card for successful Big Data adopters for the last couple of years, and it’s now deemed the key to unlocking an efficient data infrastructure that serves a purpose and drives business value. In a nutshell, the program works by storing immense datasets directly in the RAM of a server, which subsequently allows for continued analysis.

Whether you believe in Big Data’s capacity to bring competitive advantages or not, the rate at which the volume of data is increasing cannot be argued or overlooked. Through in-memory computing, locating quality data is a faster and more manageable process. The results seen through its adoption have been quite remarkable – it’s reported that users process over three times the volume of data, at speeds close to 100 times faster than companies without it.

Hitting Big Data head on is a daunting task for organizations, especially when their infrastructure has yet to develop to accommodate the reams of data now at the disposal of company officials. But the message is loud and clear, invest and invest heavily in in-memory computing, as there’s every chance it’ll be the difference between your future success and failure.

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