Data systems that learn to be better | Instance-optimized database system using Tsunami and Bao

Big data has gotten really, really big: By 2025, all the world’s data will add up to an estimated 175 trillion gigabytes. For a visual, if you stored that amount of data on DVDs, it would stack up tall enough to circle the Earth 222 times.

One of the biggest challenges in computing is handling this onslaught of information while still being able to efficiently store and process it. A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) believe that the answer rests with something called “instance-optimized systems.”

News Source: http://news.mit.edu/2020/mit-data-systems-learn-be-better-tsunami-bao-0810

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