The growth and popularity of R programming have been helping data-driven organizations succeed for years. Nearly every industry now sees data and analytics as a strategic competitive advantage, and R is the language of choice for the data analyst. Because of its popularity, not only is R helping drive success for companies using it, it’s driving its success as the industry standard for using data effectively. Here are a few examples of how companies use R to drive their bottom line.
Hadoop is extensively used in big data analytics, including scientific analytics, business and sales development, and enormous volumes of data processing. The Hadoop and Big Data Analytics Market are expected to reach USD +40 billion by the end of 2022 with +43 % CAGR during the forecast period 2018-2022.
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The technology is witnessing extraordinary changes. Nowadays, journalists are using ML for analyzing massive sets of data and the combination of ML and journalism provides deep analysis reports.
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Python was developed by Guido Van Rossum in the late 1980s and early 1990s at the National Research Institute for Mathematics and Computer science in the Netherlands.
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Hadoop broke a world record in April 2008 and became the fastest system to sort a one terabyte of data in just 209 seconds running on a 910-node cluster.
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