- Big Data is a phrase used to mean a massive volume of both structured and unstructured data that is so large it is difficult to process using traditional database and software techniques.
- In most enterprise scenarios the volume of data is too big or it moves too fast or it exceeds current processing capacity.
- extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions.
- An example of big data might be petabytes (1,024 terabytes) or exabytes (1,024 petabytes) of data consisting of billions to trillions of records of millions of people—all from different sources (e.g. Web, sales, customer contact center, social media, mobile data and so on).
- The data is typically loosely structured data that is often incomplete and inaccessible.
- Big data has been used in the industry to provide customer insights for transparent and simpler products, by analyzing and predicting customer behavior through data derived from social media, GPS-enabled devices, and CCTV footage.
- The Big Data also allows for better customer retention from insurance companies.
Big Data Technology can be defined as a Software-Utility that is designed to Analyse, Process and Extract the information from an extremely complex and large data sets which the Traditional Data Processing Software could never deal with.
- Big Data, while impossible to define specifically, typically refers to data storage amounts in excesses of one terabyte(TB). Big Data has three main characteristics: Volume (amount of data), Velocity (speed of data in and out), Variety (range of data types and sources).
