The first step to understanding big data is to define it. Many people think big data just means a lot of data. That’s only partially true. It is generally accepted that big data “refers to data sets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze.” Yet, at its core, big data is really about data analytics — sophisticated algorithms that are being applied to incomprehensibly large volumes of data. We create a staggering amount of data each day. For several years, computer scientists have been developing more and more powerful ways to harness the incredible volume of data for all sorts of purposes, such as marketing, medical research and business intelligence. They are figuring how to combine and review these immense data sets together. The result is that they are finding patterns in human conduct and nature that would have never been found without the ability to analyze these large data sets.
Read more here.
