Big Data : The Futuristic Promising Savoir

Abstract

Big Data, a new jackpot in the world of vocabulary is the recent hot term which has made itself omnipresent in debate and occupied its place on almost every lip. Data as usual is somehow known to everyone and now that data is not only data, it's Big Data. Big but how much? "Big Data" is typically considered to be a data collection that has grown so large it can't be effectively or affordably managed (or exploited) using conventional data management tools: e.g., classic relational database management systems (RDBMS) or conventional search engines, depending on the task at hand. Big Data is more a concept than a precise term. Some apply the "Big Data" label only to petabyte-scale data collections (> one million GB). For others, a Big Data collection may house ‘only' a few dozen terabytes of data. More often, however, Big Data is defined situation ally rather than by size. Specifically, a data collection is considered "Big Data" when it is so large an organization cannot effectively or affordably manage or exploit it using conventional data management tools. Why is Big Data different from any other data that we have dealt with in the past? IBM defined Big Data having 4 V's as its key characteristics such as: Volume, Velocity, Variety, and Veracity.