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Why the reality of big data is finally catching up to its hype

Submitted by on January 10, 2018 – 9:47 pmNo Comment

In case you were wondering, “big data” is still a thing. And in case you needed proof, recent earnings reports from Cloudera and Hortonworks suggest there is still big money in big data. We’ve taken to dressing it up in machine learning or AI clothes, but most companies are still struggling with the foundational basics of wildly variegated, fast-moving, high volume data, and are willing to pay for some help.

Hadoop Big Data

If you’re bored with the very idea of big data, assuming it’s passe, you’re not alone. A quick glance at Google search trends indicates a tapering off of interest over the past year. The hype cycle for big data, it would seem, has played itself out. As often happens, however, just as big data has lost its hype, it’s actually accelerating in terms of real enterprise adoption. Early on, the hype powers all sorts of proof of concepts and other tire-kicking, but little production deployments, as Gartner has highlighted for years. Today we finally seem to be getting to the dull but profitable phase of Hadoop, Kafka, and other big data technologies becoming part of the enterprise “furniture.”

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