10 Big Data Predictions for 2017 and Beyond

Posted November 28, 2016 By  Cynthia Harvey

Big data analytics is no longer a new technology. Today, most businesses recognize that they need to be actively mining their data stores for insights if they want to remain competitive in the constantly evolving marketplace. They've seen the benefit of big data solutions — and now they want more.

For 2017, the primary trends in big data will revolve around refining enterprises' core big data capabilities. They are looking for ways to analyze more data, more quickly. Having seen the payoff from their initial investments in big data technology, they are looking to expand their big data projects to achieve even greater financial results.

However, the big data talent shortage continues to be a problem. The lack of qualified job candidates is keeping salaries high even as organizations look for ways to do more analysis with fewer, less qualified staff. Leading vendors are making big data tools easier to use in hopes of attracting more users.

Organizations also face some potential challenges surrounding the privacy and security of their big data stores. But for those who successfully navigate the obstacles, the rewards could be substantial.

This slideshow highlights analyst predictions about current trends in the big data market. These are the issues that experts believe will be important in the coming year and into the future.

Image Source: Shutterstock



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