5 Big Data Technology Predictions for 2015

Big data technologies have evolved at a torrid pace that shows every sign of continuing in 2015. MapR CEO and co-founder John Schroeder predicts five major developments will dominate big data technology in the new year.

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2. Organizations Move from Data Lakes to Processing Data Platforms

data lakes Thinkstock

In some ways, 2014 was the year of the data lake (or data hub), an object-based storage repository that stores raw data in its native format — whether structured, unstructured or semi-structured — until it's ready for use. Data lakes have a strong value proposition in that they represent a scalable infrastructure that's economically attractive (with a reduced per-terabyte cost) and extremely agile.

Schroeder says that the data lake will continue to evolve in 2015 with the capability to bring multiple compute and execution engines to the data lake to process the data in-place. That's not only more efficient, it creates a single point of governance and a single point of security.

[Related: C-Level Executives Seeing Big Results From Big Data ]

"In 2015, data lakes will evolve as organizations move from batch to real-time processing and integrate file-based, Hadoop and database engines into their large-scale processing platforms," he says. "In other words, it's not about large-scale storage in a data lake to support bigger queries and reports; the big trend in 2015 will be around the continuous access and processing of events and data in real time to gain constant awareness and take immediate action."

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