SAS, R-programming, ML, Python, Hadoop, and Spark are the top Analytical tools which are dominating the entire Big data market. Learn these Data dominated tools by industry experts and avail 25% to avail 25% off on course fee by registering before 15th August.
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According to Forrester report, Hadoop usage is increasing 32.9% per year. Hadoop is dominating the Big Data space and trends seems to continue. Get hands on training on Hadoop. Contact us@ 080 48147185 / 40952721
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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According to Semi annual Big Data Analytics spending guide from IDC (International Data Corporation) the big data analytics revenue to reach $260 billion by 2022 with a growth of 11.9% over 2017-2022 forecast period.
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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, 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.