It has become fashionable to bad-mouth Big Data. To be fair, there has been a lot of hype about it, and it is important not to inflate our expectations about what it can do.
But little of this hype has come from the actual people working with large data sets. The common theme has been to a great extent obvious: “Correlation does not imply causation,” and “data has biases.” But critics of Big Data have been making three important mistakes. Read entire article here>