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  • Big Data ROI Will Take Time, Clear Goals and Talent

    By Brian Eastwood | 22 July, 2013 14:45

    The big data market is expected, by one estimate, to grow more than 30 percent annually until the end of the decade. But more than half of big data projects fail--and even those that do succeed can fall apart if the findings aren't applied to operational efficiencies. Ron Bodkin, CEO of Think Big Analytics, offers advice to help you prevent your business from becoming just another statistic.

  • 6 Big Data Analytics Use Cases for Healthcare IT

    By Brian Eastwood | 23 April, 2013 13:20

    Making use of the petabytes of patient data that healthcare organizations possess requires extracting it from legacy systems, normalizing it and then building applications that can make sense of it. That's a tall order, but the facilities that pull it off can learn a lot.

  • Big Data, Cheap Storage Bring In-Memory Analytics Into Spotlight

    By Allen Bernard | 06 December, 2012 14:05

    In-memory analytics, like virtualization and the cloud, is an old idea that's been given new life. In this case, the combination of big data, inexpensive commodity storage and parallel processing make it possible to analyze terabytes of data without slowing systems to a crawl.

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    Many data centres today are reaching a critical impasse, where demand for actionable information exceeds the ability to deliver it. It’s time to bring compute, network, and storage capabilities back into balance. • Addressing storage bottlenecks is critical in restoring performance and effective scalability • Magnetic storage will become, if it has not already, a competitive disadvantage • Efficiency comes from realigning and balancing compute, network, and storage resources

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  • Solving your big data problems with fast data

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