Do data scientists really spend 80% of their time wrangling data? Last time around, we examined this notion. But when it comes to data management, how can machine learning change data platforms for ...

To start to answer this question, let’s consider the high level objective of most data professionals: take data close to the source, and turn that data into value. This value can be utilized in a few ...

Data scientist may be one of the sexiest jobs of our century, as Harvard Business Review opines, but it sure does involve a lot of unsexy, manual labor. According to Anaconda’s 2021 State of Data ...

It’s an oft-repeated lament that getting your data into shape for analysis and visualization typically takes more time than the actual analysis and visualization. Yet while there are lots of players ...