The huge data formation which can be analyzed for revealing trends, patterns, or statistical correlations is…
Category: Big Data Analytics
Although the concept of big data analytics has appeared recently, the foundations on which its emergence and evolution rested were laid many years ago. Before the advent of computers, we needed to store and analyze the information we possessed.
In the last century, the amount of information we manage has grown rapidly. Moreover, techniques and means of storage and analysis have been developed to facilitate their management, such as the Internet and digital storage.
Big Data is essentially produced constantly by our environment. Every digital engagement with mass media produces data. For example, web browsing, online shopping, iTunes purchases, and Facebook likes.
With frightening speed, volume, and variety, this data is being harvested from numerous sources.
However, he must have the best processing power, the best analysis tools, and, of course, the necessary skills in order to get any meaningful value out of them. The variety of data that corporations now gather is nearly unbelievable. The quantity of data produced each year, according to IBM, is over 2.5 quadrillion bytes, and it’s growing at such an incredible rate that 90% of it was only created in the last two years!
Today, digital data is present in every industry. In every economy, every business, and every person who uses digital technology is a part of it. Leaders from all industries are becoming more and more interested in big data. Data storage, aggregation, and combination capabilities have greatly improved. Thus big data analytics makes it easier and more practical to use the results to develop thorough analyses.
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