What is Big Data :- The term ‘big data’ is self-explanatory − a collection of huge data sets that normal computing techniques cannot process. The term not only refers to the data, but also to the various frameworks, tools, and techniques involved. Technological advancement and the advent of new channels of communication (like social networking) and new, stronger devices have presented a challenge to industry players in the sense that they have to find other ways to handle the data.
As Gartner defines it – “Big Data are high volume, high velocity, or high-variety information assets that require new forms of processing to enable enhanced decision making, insight discovery, and process optimization. Let’s dig deeper and understand this in simpler terms.
Current usage of the term big data tends to refer to the use of predictive annalistic ,user behavior analytics or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. “There is little doubt that the quantities of data now available are indeed large, but that’s not the most relevant characteristic of this new data ecosystem. Analysis of data sets can find new correlations to “spot business trends, prevent diseases, combat crime and so on
Sources of Big Data :- There are several sources of Big Data and some of them are mentioned below, Read More at https://www.devopsschool.com/blog/top-9-best-most-popular-tools-of-big-data/
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