GST evasion is a very big problem problem for every government. Government of Karnataka is using data analytics to detect GST evasion.
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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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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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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.
According to job report 2018 of LinkedIn, job openings for Data Scientists is increasing by 45% year-on-year basis. It's a loud call out for all data aspirants.
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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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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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