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 ...

In this special guest feature, Pete Aven, Director of Sales Engineering for FactGem, offers a discussion that strives to open the eyes of enterprise decision makers to the opportunities for end user ...

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 ...