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BI & AnalyticsBig Data

Just a few years ago, enterprise organizations had to be convinced that Big Data was a real-world opportunity worth investing in. By 2016, 63% of those enterprise leaders were saying they considered Big Data and advanced analytics initiatives a necessity in order to remain competitive. This year started with even

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Big DataNews

Artificial Intelligence, Machine Learning, GDPR, Building up a Data Science Team: Trends that impact every modern organization. What is the best way to deal with these challenges and become a successful data driven organization? For the third consecutive year, Big Data Expo and GoDataDriven conduct Big Data Survey: the international benchmark

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Big DataHealthcare

Big data has rapidly made its way into a wide range of industries. Healthcare is ripe for big data initiatives—as one of the largest and most complex industries in the United States, there is an incredible number of potential applications for predictive analytics. While some healthcare organizations have begun to

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BI & AnalyticsBig DataData Science

Big data and sports analytics are changing the ways many things in sports have traditionally been done. They are allowing for new processes that have the potential to alter the way that organizations conduct their scouting. This is because data science and sports analytics are opening up new data points

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Data Science

One of the great things about running a startup is that you’re working with a clean slate. If you have worked with a different organization before, you may have had issues with culture and people that you probably don’t want happening with your own company. Existing organizations, especially the established

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Big Data Analysis
Big DataData ScienceResources

Introduction A couple of months ago a client of mine asked me the following question: “What is the faster data structure object in Python for Big Data analysis today?” I get questions like this one all the time. Some of them are not easy to solve at all and it

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