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1.2 Evolution of Big Data

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The first documentary appearance of big data was in a paper in 1997 by NASA scientists narrating the problems faced in visualizing large data sets, which were a captivating challenge for the data scientists. The data sets were large enough, taxing more memory resources. This problem is termed big data. Big data, the broader concept, was first put forward by a noted consultancy: McKinsey. The three dimensions of big data, namely, volume, velocity, and variety, were defined by analyst Doug Laney. The processing life cycle of big data can be categorized into acquisition, preprocessing, storage and management, privacy and security, analyzing, and visualization.

The broader term big data encompasses everything that includes web data, such as click stream data, health data of patients, genomic data from biologic research, and so forth.

Figure 1.1 shows the evolution of big data. The growth of the data over the years is massive. It was just 600 MB in the 1950s but has grown by 2010 up to 100 petabytes, which is equal to 100 000 000 000 MB.

Figure 1.1 Evolution of Big Data.

Big Data

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