R Programming language combines all statistical models and analysis. It provides a comprehensive language for manipulating and managing data.
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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, itβs 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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With its increasing relevance across various sectors, the global demand for big data, analytics, and data science professionals are on a rise. Piling data along with a surge in fields such as AI, machine learning, and data science, has made analytics the most sought-after professions in India as well. There is an increase in demand for highly skilled professionals and companies are on a constant lookout for professionals who can fill the gap.
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In 2008 SAS announced Project Unity, designed to integrate data quality, data integration, and master data management.
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