The definition of big data holds the key to understanding big data analytics. According to the Gartner IT Glossary, Big Data is high-volume, high-velocity and high-variety information assets that demand cost effective, innovative forms of information processing for enhanced insight and decision making.
- Volume refers to the amount of data. Many factors are contributing to high volume: sensor and machine-generated data, networks, social media, and much more. Enterprises are awash with terabytes and, increasingly, petabytes of big data.
- Variety refers to the number of types of data. Big data extends beyond structured data such as numbers, dates and strings to include unstructured data such as text, video, audio, click streams, 3D data and log files.
-Velocity refers to the speed of data processing. The pace at which data streams in from sources such as mobile devices, clickstreams, high-frequency stock trading, and machine-to-machine processes is massive and continuously fast moving.
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