Big Data Predictions For 2016

What’s in store for big data in 2016? Expect updates in machine learning, real-time data-as-a-service, algorithm markets, Spark, and more. 1 of 10 (Image: PonyWang/iStockphoto) 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. This past year was no exception. Everybody talks about the promise and the potential…


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