Big Data is big, in part, because no one throws anything away. It's also worth noting that "big" doesn't always spell "better" (it may spell "clunky" though). That's why the concept of Data Lake, a system for storing raw information, came about some time ago, just to keep "useful" data handy. However, determining usefulness of...
