“Data wrangling” was an interesting phrase to hear in the machine learning (ML) presentations at Microsoft Ignite. Interesting because data wrangling is from business intelligence (BI), not from ...

Enterprises today collect unimaginable amounts of data. But if data is raw, enterprises cannot utilize it to its full potential. Data wrangling helps turn this raw data into valuable data for the ...

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 ...

With its growing emphasis on all things AI -- coupled with its history as a tool vendor -- it's not surprising that Microsoft is working on tools not just for traditional programmers, but also data ...

Do data scientists really spend 80% of their time wrangling data? Yes and no. The implication is clear: if this stat is accurate, then the burden of provisioning data for their models impedes data ...

With great power comes not only great responsibility, but often great complexity — and that sure can be the case with R. The open-source R Project for Statistical Computing, a programming language and ...

Data scientists and data engineers are both critical roles for data-driven organizations. When they work well together, it can be magical. But too often, their relationships are fraught with tension ...

What Is Data Literacy, and Why Is It Important? Your email has been sent Data literacy, the ability to read, understand, analyze and communicate information, helps companies make better decisions, ...