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The potential benefits of the Hadoop ecosystem are well known and include improved information timeliness, improved data processing robustness and the ability to scale processing as data volumes increase. Companies such as Cloudera, Hortonworks, and MapR, as well as the Apache Foundation have done an excellent job educating companies about these benefits. They have also made it extremely easy to install and manage a Hadoop environment within a corporate data center. For organizations that do not want to manage their own Hadoop environment, Amazon’s Elastic Map Reduce and Azure’s HDInsight provide easy access to a Hadoop environment in a public cloud offering. Unfortunately, none of these Hadoop platform providers have made it easy for a company to develop and run Hadoop analytics. In fact, many organizations that have stood up Hadoop environments are failing to see a positive return on investment because they don’t have a suite of tools to effectively leverage their initial investment in the Hadoop platform. The companies that are successfully extracting value from the Hadoop ecosystem are usually giant technology companies like Facebook and Google who have thousands of software developers. To successfully leverage Hadoop, companies typically attempt to hire software developers that are also competent data scientists as well as experts in the modern programming paradigms that Hadoop supports. There are simply not enough software developers with these skills and the competition for them is too great. A different approach and a different set of tools are needed to better extract value from an initial Hadoop platform investment.
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