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Top Predictions for Big Data in 2014

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Big Data analysis process will become more automated. The majority of organizations (84 percent) have a manual process to analyze Big Data, according to Adaptive Computing’s survey. A manual approach is time-consuming and typically results in underutilized, siloed computing environments, which explains why 90 percent of survey respondents would achieve greater satisfaction from a better analysis process or workflow. To process simulations and data analysis more effectively, Adaptive Computing predicts that more organizations will automate the workflow, minimizing costly and error-prone manual work.

Adaptive Computing, a cloud management company, recently announced its top predictions on the future of computing and Big Data analytics for 2014 and beyond. These predictions encompass several emerging trends – including the collision of cloud computing, high-performance computing (HPC) and Big Data – that are expected to accelerate the ways enterprises extract insights from their data.

Adaptive Computing solidified its predictions after new findings from a hands-on survey the company recently conducted in Q4 of 2013 at the Supercomputing, HP Discover and the Gartner Data Center conferences in December 2013. More than 400 data center managers, administrators and users participated in the Adaptive Computing survey from a number of vertical markets, including education, oil and gas, financial and insurance services, government, manufacturing, technology software and telecommunications.

 

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