The term “Big Data” refers to data management process or simply the problems of structured and unstructured data that cannot be processed by traditional data mining and data handling methods and applications due to its complexity, time sensitivity and large amounts. Big data may also be referred to the technology that is employed for handling such large and complex data. It often includes challenges of data capturing, data analysis, data analysis, data storage, data transfer, data sharing, data visualisation, data source, and so on.
Author Andrea De Mauro (Department of Enterprise Engineering, University of Rome Tor Vergata, Rome, Italy.) defined “Big Data is the Information asset characterised by such a High Volume, Velocity and Variety to require specific Technology and Analytical Methods for its transformation into Value.”
Points to Remember
- Earlier, the concept of “Big Data” was generally associated with three Vs: massive volume of data, required velocity of data processing and the broad variety of data. These were first mentioned by Gartner analyst Doug Laney in 2001. Veracity and Value of data were the two other concepts that were added later.
- Big data is used by governments and enterprises worldwide in several areas which include but are not limited to manufacturing, healthcare, education, media, IT, meteorology and more.