Adam Marczak explains Azure Data Factory Mapping Data Flow in this video.

With Azure Data Factory Mapping Data Flow, you can create fast and scalable on-demand transformations by using visual user interface. In just minutes you can leverage power of Spark with not a single line of code written.

In this episode I give you introduction to what Mapping Data Flow for Data Factory is and how can it solve your day to day ETL challenges. In a short demo I will consume data from blob storage, transform movie data, aggregate it and save multiple outputs back to blob storage.

Sample code and data: 

In this video, Chris Seferlis continues discussing the Modern Data Platform in Azure with Part 3: Data Processing.

Tools Discusssed:

In the AI-centric world I (and many data scientists) tend to live in, everything is cutting edge (or close to it). We take cloud and PaaS for granted. It’s hard for us to imagine that in 2019, many organizations are still running SQL Server 2008 and 2008 R2 in production. Further more, many of these same organizations are still using SSIS 2008 and 2008 R2 in production as well.

Yesterday, support ended for SQL Server 2008 and 2008 R2. Leaving many in a state of fear and loathing. Andy Leonard, co-host of Data Driven, has written an insight post about this very problem.

Cheer up, you’re not alone and it can only get better from here on out.

If you are reading this post and thinking or saying, “Yep. He’s writing about me,” you are not alone. If you feel bad about this, I have spoken to people who are still running DTS (Data Transformation Services) from the SQL Server 2000 days. If you’re feeling smug because you’re running SQL Server 2016 or 2017 in production, test-drive the moccasins of folks who are hampered by mission-critical third-party enterprise solutions for which later SQL Server versions have not been certified – some of whom are operating in regulation-heavy industries.

Andy has been working on a way to test SSIS package execution in Windows containers using the SSIS Catalog. That’s a lot of moving parts, which made for a lot of blog posts.

Watch the video from the Data Driven TV Facebook page:

Alternatively, press the play button below to listen here or visit the show page at

Read the related blog series at

On the podcast Andy Leonard and I create, we love experimenting around here and examining the resulting data. After all, we are Data Driven: not just in name but also in spirit.In this webinar Andy recorded, he also streamed it live on our Facebook page.

We thought it was good enough to share with our larger audience here.Let us know what you think. Both Frank and Andy have been recording/streaming their live events and we’re curious to hear what you have to say about this innovation in how we podcast.

Press the play button below to listen here or visit the show page at