What is "big data"? What are the most important drivers of big data? What could happen if companies focus solely on the quantitative (i.e., "numbers") aspects of big data? Explain.

GUIDANCE :

Big Data is no longer just a buzzword; it is a proven phenomenon and not likely to die away soon. A recent IDC report predicts that the digital universe will be 44 times more prominent in 2020 than in 2009, totaling 35 zettabytes.

Two factors have combined to make Big Data especially appealing now. One is that so many potentially valuable data resources have come into existence. These sources include the telemetry generated by today's smart devices, the digital footprints left by people who are increasingly living online, and the rich information commercially available from specialized data vendors. Add to this the tremendous wealth of data structured and unstructured, historical and real-time that have come to reside in diverse systems across the enterprise. Big Data offers hugely attractive opportunities to those who can unlock its secrets.

The other component adding to Large Information's allure is the rise of strong innovations for successfully taking advantage of it. IT associations can now exploit apparatuses like Hadoop, NoSQL, and Gephi to justify, dissect and picture Enormous Information in manners that empower them to isolate the significant understanding from the monstrous garbage of crude info rapidly. As a little something extra, a large number of these devices are free under open-source permitting. This vows to assist with keeping the expense of Huge Information execution taken care of.