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.
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 24 posts in the series:
- Introduction to Azure Data Factory
- Creating an Azure Data Factory
- Overview of Azure Data Factory Components
- Copy Data Wizard
- Copy Data Activity
- Linked Services
- Data Flows
- Orchestrating Pipelines
- Debugging Pipelines
- Annotations and User Properties
- Integration Runtimes
- Copy SQL Server Data
- Executing SSIS Packages
- Source Control
- ForEach Loops
- 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.
Where can I get help?
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.
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
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 🤓