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According to a recent report from the research firm Gartner Inc., “through 2017, 60% of big-data projects will fail to go beyond piloting and experimentation and will be abandoned.” It turns out that faith in Hadoop has outpaced the technology’s ability to bring big data into the mainstream. Demand for Hadoop is on the rise, yet customers have found that a technology built to index the Web may not be sufficient for corporate big-data tasks, said Nick Heudecker, research director for information management at Gartner. It can take a lot of work to combine data stored in legacy repositories with the data that’s stored in Hadoop. And while Hadoop can be much faster than traditional databases for some purposes, it often isn’t fast enough to respond to queries immediately or to work on incoming information in real time. Satisfying requirements for data security and governance also poses a challenge.
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