Big Data or Unstructured Data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis, and visualization.
Data becomes "big data" when it basically outgrows your current ability to process it, store it, and cope with it efficiently. Storage has become very cheap in the past decade, which means it has become easy to collect mountains of data. However, our ability to actually process the mountains of data quickly has not scaled as fast. Traditional tools to analyse and store data were not designed to deal with vast data problems.
A number of recent technology advancements are enabling organizations to make the most of big data. Across industries and verticals, companies are assessing how to manage the volume, variety, and velocity of their information and create a data platform that leverages these large volumes of data to derive timely insight while preserving their existing investments in information management.