SAS announced project unity in 2008, designed to integrate data quality, data integration and master data management.
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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.
In IEEE Spectrum's fifth annual interactive ranking, Python remains the most popular programming language. Python programming language is massive popularity. It's a loud call out for those who wants to make a career in Data Science. To get Python training contact us@ 080 48147185 / 40952721
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 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
