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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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.
The global Data Analytics market in Banking sector was $7.19 billion in 2017 and it is expected to reach $14.83 million by 2023, growing at a CAGR of 12.97% between (2018-2023).
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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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