Analytics is the discovery and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. Data Analytics (DA is the science of examining raw data with the purpose of drawing conclusions about that information.

#### Analytics vs Analysis

Analytics is multidisciplinary. There is extensive use of mathematics and statistics, the use of descriptive techniques and predictive models to gain valuable knowledge from data—data analysis.

[https://en.wikipedia.org/wiki/Analytics]

#### Big Data Analytics

Big data analytics is the process of collecting, organizing and analyzing large sets of data (*called* big data) to discover patterns and other useful information. Generally speaking Big data volume starts from Peta bytes of data (PB=10^{15} bytes of data). However, I have seen people referring Tera bytes (TB) of data as Big data.

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