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 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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According to a latest report from Zion Market Research, the global hadoop market was USD 7.69 billion in 2016 and is expected to reach approximately USD 87.14 billion by 2022. Growing at a CAGR of 50% between 2017 and 2022.
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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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Analytics, data science and big data industry in India is currently estimated to be $2.71 billion annually in revenues, growing at a healthy rate of 33.5% CAGR. Of the annual inflow to the analytics industry, almost 11% can be attributed to advanced analytics, predictive modeling, and data science.
To know about analytics and the different tools used in Analytics, join the session on Analytics with SAS and R-programing being the main topics of the discussion.
Date: 19th July 2018
Time: 10:00 am onwards
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