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Azure Data Factory Resources

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For the past 25 days, I have written one blog post per day about Azure Data Factory. My goal was to start completely from scratch and cover the fundamentals in casual, bite-sized blog posts. This became the Beginner’s Guide to Azure Data Factory. Today, I will share a bunch of resources to help you continue your own learning journey.

I’ve already seen from your questions and comments that you are ready to jump way ahead and dive into way more advanced topics than I ever intended this series to cover 😉 And as much as I love Azure Data Factory, I can’t cover everything. So a little further down, I will share where and how and from who you can continue learning about Azure Data Factory.

But first…

That’s a wrap!

That’s a wrap! Woohoo 🥳

After this, I will be taking a break from creating new content. However, I will continue to edit, update, tweak, rewrite, and improve all 25 posts already published. I originally published one post per day as an Azure Data Factory Advent Calendar, and even while writing I noticed things that I didn’t have time to cover or things that I wanted to go back and improve. But! I needed to get all the posts published first. I consider this the first edition of the series. Now, the editing begins. Then, I will do my best to keep the content updated as Azure Data Factory keeps evolving 🤓

Beginner’s Guide to Azure Data Factory

These are the first 25 posts in the series:

  1. Introduction to Azure Data Factory
  2. Creating an Azure Data Factory
  3. Overview of Azure Data Factory User Interface
  4. Overview of Azure Data Factory Components
  5. Copy Data Tool
  6. Pipelines
  7. Copy Data Activity
  8. Datasets
  9. Linked Services
  10. Data Flows
  11. Orchestrating Pipelines
  12. Debugging Pipelines
  13. Triggers
  14. Monitoring
  15. Annotations and User Properties
  16. Integration Runtimes
  17. Copy SQL Server Data
  18. Executing SSIS Packages
  19. Source Control
  20. Templates
  21. Parameters
  22. Variables
  23. ForEach Loops
  24. Lookups
  25. Understanding Pricing

Resources for Continued Learning

If you know any good resources that I have missed in this post, please let me know!

How can I learn more?

Start with the Azure Data Factory Documentation. It’s detailed and has many how-to guides and tutorials.

You can dive into specific topics in one of the Azure Data Factory whitepapers.

To learn about news and updates, subscribe to the Azure Data Factory Blog and Azure Data Factory Updates.

Where can I get help?

You can ask questions in the MSDN forums or on Stack Overflow.

If you need to do something that’s currently not supported, you can share your ideas and request features in the Azure Data Factory UserVoice.

Which videos can I watch?

Subscribe to Azure Data Factory on YouTube.

You can also find many great videos covering Azure Data Factory (and related technologies) on Azure Friday, Data Exposed, and from Microsoft Ignite.

Who should I follow?

These amazing people tweet, blog, and record videos covering Azure Data Factory and related topics. I learn so much from them. So should you :)

Azure Data Factory
Tweets from @DataAzure

Mark Kromer
Tweets from @KromerBigData and @mssqldude
Blogs on and

Paul Andrew
Tweets from @mrpaulandrew
Blogs on

Simon Whiteley
Tweets from @MrSiWhiteley
Blogs on Advancing Analytics

Meagan Longoria
Tweets from @MMarie
Blogs on Data Savvy

Rayis Imayev
Tweets from @RayisImayev
Blogs on Data Adventures

Helge Rege Gårdsvoll
Tweets from @DataHelge
Blogs on DataHelge

Erwin de Kreuk
Tweets from @ErwindeKreuk
Blogs on Erwin & Business Analytics

Sean Forgatch
Tweets from @4gatchSQL
Blogs on Modern Data Engineering

Kamil Nowinski
Tweets from @NowinskiK
Blogs on SQL Player

Thank you!

Again… that’s a wrap! Thank you so much for following me on this journey through the Azure Data Factory fundamentals. Best of luck with your own solutions, and I hope that I one day can learn lots from you as well 🤓

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About the Author

Professional headshot of Cathrine Wilhelmsen.Cathrine Wilhelmsen is a Microsoft Data Platform MVP, international speaker, author, blogger, organizer, and chronic volunteer. She loves data and coding, as well as teaching and sharing knowledge - oh, and sci-fi, gaming, coffee and chocolate 🤓