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Sumo Logic wrestles big data cost and availability

Author: MARK ALBERTSON / Source: SiliconANGLE

Big data is testing the limits of high volume computing technology to manage it, as well as customers’ patience in finding it. The “Barclay’s Big Data Handbook” recently documented that machine data will account for 16 zettabytes by 2020, an astounding number, even for Ben Newton (pictured), principal products manager at Sumo Logic Inc., who makes it his business to put big data in the proper perspective.

“The amount of data being produced is just bigger than anyone ever imagined. That’s like watching the whole Netflix catalog 30 million times,” Newton said.

Sumo Logic’s approach to the challenge is to simplify and reorganize massive data files using machine learning, with the goal of allowing customers to “get more value out of the data they have without having to invest in this costly infrastructure to do it,” Newton added.

Spreading data analytics across the organization was among the topics covered by Newton during his visit with John Walls (@JohnWalls21) and Stu Miniman (@stu),…

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