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Data Digest: 2017 Big Data and IoT Predictions, Big Data Myths, Causes of Analytics Failure

Today read 10 predictions for big data and IoT, a discussion of the biggest myths about big data, and the most common reasons big data and analytics initiatives fail.

Forecasts for Big Data and IoT in 2017

As 2016 winds down, we're looking ahead to 2017. Ten leaders in technology offer their predictions on the state of big data and IoT for next year.

Read more at Dbta

The Biggest Myths of Big Data

The ubiquity of big data as a buzzword has lead to many misconceptions. Clear up your doubts with this article.

Read more at Webbiquity

Biggest Challenges for Analytics Initiatives

Sometimes, your analytics projects do not get the ROI you were hoping for. If this has happened to you, you may have faced one of these common pitfalls of big data initiatives.

Read more at Kdnuggets

About the Author

Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at

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