Here's a nice piece from HP about the importance of distinguishing between Hadoop and Big Data, although Big Data often provides a rationale for deploying Hadoop. Echoing a theme from the IKO Conference, there are also important skills and competency issues: “The talent gap is huge,” says Maguire. “What you need is somebody who knows 15 different technologies—a machine learning guru who also happens to know Python, Perl, distributed processing, Hive, Pig, SQL, and so on. That drives up the TCO—Hadoop comes with a big hidden cost.”
By Patrick Lambe
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