Talking about the speed of data can be a little tricky. Nowadays data serves so many different use cases, each with its own definition of…

Machine Learning model governance at scale

A deep dive into the role and its responsibilities.

As data science and machine learning (ML) evolve, the role that program managers play on ML teams is likewise evolving, perhaps to the…

Our team not only helps the engineering org build Azure — we use it, too, in our data science work. Our team consists of program managers…

As I mentioned in my previous post, How we built self-serve data environment tools with Azure, our team uses Azure Data Explorer (ADX) as…

Our team runs dozens of production machine learning models on a daily, weekly, and monthly basis. We recently went through a redesign of…

Last year — before COVID-19 put a stop to conferences — I attended the Strata Data Conference in San Francisco. The speakers came from…

How two groups at Microsoft teamed up on a data quality initiative.

In my previous article, “Common data engineering challenges and their solutions,” I talked about metadata management and promised that we…

In a previous article, Azure Data Explorer at the Azure business scale, I talked about how we use Azure Data Explorer as our main data…