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For a couple years, Big Data was heavily hyped, and Hadoop became incredibly popular. In fact, so popular that Microsoft build HDInsight and Polybase to allow us to take advantage of these technologies and integrate them into our own systems. While the year has seen less hype on "big data" specifically, more and more of us are dealing with large amounts of data every day. There isn't a good definition of Big Data I've seen, but whatever you thought it meant five years ago has surely changed to mean larger volumes today. One of the important things that many organizations are learning is that they don't necessarily need more bits and bytes of all their data. They're increasingly learning that they need more of the right data, which is the data that is useful to them. Often this is the data that lets them make decisions that improve their revenue, profits, efficiency, etc. As we move to GDPR this spring, it might also me more auditing data that prevents problems or satisfies regulators. Read the rest of "Finding the Right Data" |