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BLOG: Big Data security analytics: It takes a village

Jon Oltsik | July 2, 2013
Mainstream enterprises need algorithms, intelligence, automation, and collaboration to succeed.

4. User groups. In 1955, a group of IBM 701 users in Los Angeles got together to exchange ideas, experiences and best practices. This led to the formation of SHARE, a mainframe user group that is still active today. This type of collective collaboration will be essential for inexperienced users looking to benefit from big data security analytics. Vendors who organize and promote these efforts along industry lines can gain an advantage.

Big data security analytics may be an enterprise inevitability, but it will prove to be too geeky for a large percentage enterprises. Ultimately, service providers like Dell/ServiceWorks, Packetloop, and Sumo Logic may become major players at the big data security analytics party -- simply because so many enterprises don't have the brainpower or confidence to go it alone.

Note: For those interested in more information about the big data security analytics landscape, go to the ESG web site and download the ESG Market Landscape Report, "The Evolution of Big Data Security Analytics."


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