Review on Big Data

Abstract

Big data is a term that describes the large volume of data – both structured and unstructured. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data is popular term used to describe the exponential growth and availability of data, structured, semi-structured and unstructured data has the potential to be mined for information. In order to process these large amounts of data in an inexpensive and efficient way, parallelism is used. Big Data is a data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it. Big data is a broad term for data sets so large or complex that traditional data processing is inadequate.For the big companies like Facebook, Google, Yahoo etc. needs big data analytics to handle such unstructured data. Big data can be analyzed for insights that lead to better decisions and strategic business moves. This paper explains about big data analyzes and what kind  different tools to handle it.

Hadoop is the core platform for structuring Big Data, and solves the problem of making it useful for analytics purposes. Hadoop is an open source software framework for storing data and running application. Hadoop makes it possible to run applications on system with thousands of nodes involving thousands of terabytes.