Bringing Hadoop into the Enterprise

Michael Vizard

New technologies in the enterprise can be a lot like organ transplants: There's always a chance that the IT body will reject them. That's why sometimes the most important thing an IT organization can do is find a way to slip the management of an emerging technology into an existing framework.

Case in point is a new version of a data integration tool for Apache Hadoop from Syncsort. The DMExpress Hadoop Edition not only accelerates the processing of MapReduce, the programming interface most commonly used to access Hadoop data, it masks a lot of the complexity associated with MapReduce. Interest in Hadoop is rising because IT organizations want to be able to cost-effectively analyze large amounts of data. But many IT organizations don't have a lot of experience with MapReduce and Hadoop (both have issues in terms of complexity and performance).


According to Keith Kohl, Syncsort director of product management for data integration, the most immediate challenge IT organizations are going to have with MapReduce is finding tools that make it easy to use. To that end, Synsort is contributing the external sort plug-in that it has developed for MapReduce to the open source community.

MapReduce and Hadoop have the potential to transform the way huge swaths of data are managed in the enterprise. The real issue, however, shouldn't be how to make the IT organization bend to meet the requirements of these Big Data technologies, but rather how to find ways to make them bend to meet the needs of the IT organization.

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