Gartner defines Big Data as high volume, velocity and variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.
We use Big Data especially for unstructured data. An example of unstructured data is collection of customers social media posts for analyzing on customer behavior. 80% of data captured today is unstructured, from sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals, to name a few. All of this unstructured data is Big Data.
Organizations are discovering that important predictions can be made by sorting through and analyzing Big Data. However, since 80% of this data is “unstructured”, it must be formatted (or structured) in a way that that makes it suitable for data mining and subsequent analysis. Hadoop is the most popular Big Data package. Hadoop is the core platform for structuring Big Data, and solves the problem of making it useful for analytics purposes.