Turning data scientists into action heroes: The rise of self-service Hadoop

Mike is chief operating officer at Altiscale. The unfortunate truth about data science professionals is that they spend a shockingly small amount of time actually exploring data. Instead, they are stuck devoting significant amounts of time wrangling data and pouring resources into the tedious act of prepping and managing it. While Hadoop excels at turning massive amounts of data into valuable insights, it’s also a notorious culprit for sucking up resources. In fact, these hurdles are serious bottlenecks to big data success, with research firm Gartner predicting that through 2018, 70 percent of Hadoop deployments will not meet cost savings and revenue generation objectives due to skills and integration challenges. Whether it’s time stuck in a queue behind higher priority jobs or functioning as a Hadoop operations person, — building…


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