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    Platfora Application Makes Big Data Accessible Faster

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    When it comes to Big Data, much of the debate is starting to shift toward a classic build versus buy argument that is so characteristic of just about every other IT sector. At the Strata + Hadoop World 2014 conference this week, Platfora made a case for buying a Big Data analytics application with a 4.0 release of its namesake Big Data analytics application that promises to get organizations Big Data results in a matter of days and weeks, rather than months and years.

    Peter Schlampp, vice president of product for Platfora, says version 4.0 of Platfora extends the visualization and geo-analytics capabilities of the application, in addition to introducing collaboration features to empower cross-functional teams.

    The primary issue that most organizations face today when embracing Big Data is that it will take years for the internal IT organization to build Big Data applications on their own. Schlampp says by leveraging RESTful application programing interfaces (APIs) to pull data into Platfora, data scientists can start analyzing that data almost immediately. In contrast, most data scientists today are still spending their time preparing data to be analyzed, says Schlampp.

    Platfora

    Now that most organizations have at least some passing familiarity with Big Data concepts, the race is on to leverage that data to provide insights that could result in some form of a competitive advantage. The difference, of course, is that organizations that choose to build their own application are not as likely to get as far down the Big Data path as quickly as those that opt to deploy a packaged application.

    Of course, packaged applications may cost a little more to adopt up front. But as is often the case with all things IT, time to delivery of actual business value often trumps all other considerations.

    Mike Vizard
    Mike Vizard
    Michael Vizard is a seasoned IT journalist, with nearly 30 years of experience writing and editing about enterprise IT issues. He is a contributor to publications including Programmableweb, IT Business Edge, CIOinsight and UBM Tech. He formerly was editorial director for Ziff-Davis Enterprise, where he launched the company’s custom content division, and has also served as editor in chief for CRN and InfoWorld. He also has held editorial positions at PC Week, Computerworld and Digital Review.

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