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 ...

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 ...

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 ...