@MISC{Singh_exploringthe, author = {Jaya Singh and Ajay Rana}, title = {Exploring the Big Data Spectrum}, year = {} }
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Abstract
Abstract — Today, enterprises are flooded with data – terabytes and petabytes of it. Exabytes, zettabytes and yottabytes are definitely on the way. This tsunami of data, as some experts call it, which is growing exponentially, at a very high velocity from different sources in diverse formats, is being termed as Big Data. Big Data is the data pouring globally from transactional systems like SCM, CRM, ERP and non-transactional sources such as sensors, mobile communications, RFID, Social Media, satellites, web logs, clickstreams and emails and is structured, semi-structured or unstructured in schema. Big Data is a source of big opportunities, which need to be extracted by applying advanced analytics on it. However, there are several challenges posed by Big Data to the enterprises. Since most of the Big Data is unstructured, new approaches must be adopted by the enterprises to ingest, store, analyze, manage, distribute and process this streaming data and gain insights for innovation and competition in the business process. New infrastructure is needed to handle the explosive volume, velocity, variety and complexity of Big Data. Core competence is required to analyze in real time, the full spectrum of data and discover the patterns, trends and relationships in Big Data, which are the sources of innovation and business transformation. The highlights of this research paper are to define Big Data, explain the significance of Big Data, discuss the approaches to leverage the benefits of Big Data in the Enterprises and look at the future state of Big Data.