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Big Data Predictions For 2016
InformationWeek: The hype around big data and analytics has gone through cycles over the past couple of years, starting with excitement about how much data we have and the potential for it. That moment was followed by that let-down, "now what?" feeling after organizations put the storage and tools in place and found themselves wondering what to do with it. There are so many technologies and trends to track -- machine learning, AI, advanced analytics, predictive analytics, real-time analytics, Hadoop, Spark, other Apache Foundation projects, open source, cloud-based-as-a-service offerings, self-service, and more.
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