Enterprises are increasingly turning to Hadoop to get business value from their data. Over the years, we’ve seen the use of Hadoop evolve from a simple data repository and into an engine that fuels smart, data-driven decision-making.
While more and more organizations are becoming increasingly sophisticated as their use of Hadoop matures, it’s hard to ignore that implementing and scaling Hadoop is enormously complicated. Unforeseen challenges can quickly arise as Hadoop projects grow. Solving these challenges can help organizations derive even greater value from their data, possibly leading to new markets and customers.
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