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Big Data deployments will move into real-time processing, says MapR

In 2015, data agility will emerge as a top focus, organizations will move from data lakes to processing data platforms, and self-service Big Data will go mainstream. This is all according to John Schroeder, CEO and co-founder of MapR Technologies, Inc., a provider of an enterprise-grade distribution for Apache Hadoop.

Solix Technologies, Inc. Offers No Cost Data Growth Assessment

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Unchecked data growth can cripple application performance, strain an organization’s resources and drive up infrastructure costs. Assessing the impact of data growth is critical to an effective Information Lifecycle Management (ILM) strategy. More>>

Report finds operational impact is key to Big Data ROI

Wikibon research has demonstrated that most Big Data projects in 2014 actually lost money, returning an average of 55 cents on the dollar. However, a few companies stood out, with ROI of three times or more on their Big Data investments. More>>

Hadoop and HDFS

Enterprises are rapidly discovering the power of Apache Hadoop and big data to drive more powerful, data-driven insights and better position their organizations in an increasingly dynamic and competitive economy. More>>

Big Data Application Strategy Enterprise Archiving and Data Lake

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Data is exploding – so much so that the amount of online data around the world has reached 672 Exabytes, equal to about 154 trillion DVDs. Apache Hadoop offers a compelling solution to manage exploding data growth by providing a lowest cost, bulk data storage solution with near linear scalability.

How to get the most from big data

Organizations need specialists, or “translators,” who can analyze, distill, and clearly communicate information of the greatest potential value. More>>

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