languages, such as R for statistical analysis, and Python for more general programming, are the two languages most commonly used in analytics. If you analyze big data sets, you may benefit from ...

The choice of programming language is not a simple one, and in the end it may not even be the most important one either. As pointed out by Luiz Eduardo Le Masson, data science leader at Stone Co.: ...

Reader, let me introduce you to Big Data. Big Data, meet Reader. Actually, there's a bit more to it than that. Big Data systems involve a wide range of technologies that can only be understood when ...

The R programming language leans more frequently to the cutting edge of data science, giving businesses the latest data analysis tools. The problem: With loose standards and scores of diverse ...

I've been a project manager/scrum master for 5 years. I'm done with it for various reasons. I'm looking at what to do with my career. I spent several years as a data analysis building reports for ...

With continuous learning still key in programming, we’re highlighting three languages that programmers need to have on their radar. Skip to main content Events Video Special Issues Jobs ...

The open-source project behind Julia, a programming language for data scientists, has revealed which languages users would shift to if they decided no longer to use Julia. Julia, a zippy ...

Database admins strive to ensure that large chunks of data are both accessible and stored with integrity. By using these programming languages, they can keep systems optimized. As data volumes ...