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, 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.
Instagram is the largest photo sharing social media platform. 100 million photos and videos are uploaded on Instagram every day. A massive amount of data is generated and it is not possible for humans to analyze that amount of data. So they use the Python programming language to analyze data.
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The product manager of google said that google app engine is supporting python (3.7) programming language and they are ready to use it in the next 25 days.
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In Gartner's magic Quadrant, SAS named as a leader for Multi-channel marketing hubs. it helps organisations to track, manage and analyze their customer.
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The global hadoop market is witnessing a massive growth in past 5 years and trend continues. According to study report from hadoop, it is growing at a CAGR of 39.49% during the period 2017-2021.
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Python is the top programming language. A python programmer can get jobs easily in a wide range of industries. Since Python is highly adaptable and can be easily integrated into a web application, python programmers are able to find more economic prospects.
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