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Looking back over the last 15 years, Big Data has often been framed as a problem, or perhaps an opportunity that has not yet been fulfilled. What needs to happen to transform this outlook so that we describe Big Data as being a solution rather than a nuisance? A new understanding hinges on having the right people and tools to execute the job, having a clear picture of what problems they are trying to solve, and how they will use and manipulate the data they are collecting. This Guide explores the critical capabilities in next generation self-service data preparation tools and dives deeper into applications and languages affiliated with Big Data. Look into a Big Data reference architecture for IoT and see why a lack of skilled professionals has been companies’ largest blocker in capitalizing on Big Data benefits.
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