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4 Trends That Will Shape Big Data Use in 2014

10th Dec `13, 11:33 PM in Resources

An Ovum analyst has peered toward 2014 and predicts that both big data and fast data are set…

BDMS
Guest Contributor
 

An Ovum analyst has peered toward 2014 and predicts that both big data and fast data are set to transition from the early-adopter phase to maturity.

According to Tony Baer, principal analyst of software-enterprise solutions for the market research firm, and lead author of Ovum’s “Big Data 2014 Trends to Watch” report, big data trends in 2014 will include:

1. Analytic data platforms adding multiple personalities

Baer believes that both the SQL and Hadoop platforms are in the process of diversifying, adopting multiple personalities, and creating overlapping functions. “The rationale is a mix of providing convenience, leveraging familiarity with SQL, and providing unified management over diverse analytic workloads,” Baer said in a statement released by Ovum. “By bundling multiple engines, management of diverse analytic workloads becomes more convenient.” However, on the downside he observed that, “… some of these engines or approaches are quite early in development; in many cases, implementations are still proprietary.”

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