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 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
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.
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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Spotify is one of the top music streaming provider. It uses python for data analysis which helps them in better decision making. And they are also using in back-end services which are written in the python language.
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With software development being redefined to work in a data science and machine learning context, this timeless question is gaining new relevance and R and python are being the most used programming language for machine learning and data science.
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