Forum Discussion
Connecting on Data Engineering: Lakehouses & Pipelines ๐
Hi Fabric Family! ๐
I am really excited to be part of this program and wanted to briefly introduce myself. I am focusing heavily on the Data Engineering tracks within Microsoft Fabric.
I am particularly interested in the integration between Data Factory pipelines and the Lakehouse architecture. The ability to manage Bronze, Silver, and Gold layers within a unified experience is a game-changer for our workflows.
If anyone wants to compare notes on OneLake, Spark notebooks, or ETL best practices, I would love to connect.
Looking forward to learning alongside you all! ๐ป
5 Replies
- AntoineW
Super User
Thanks for joining the data engineering community on microsoft fabric.
You are at the right place to share your ideas and help others on data engineerings' topics and have the chance to be visible with microsoft teams like MVP, super users etc...
Enjoy your learning on Fabric ๐
- vaibhavmahajan
Advocate I
Hi Krishna_11 ,
I hope you are doing well today ๐โค๏ธ
Great to see your focus on Data Engineering in Microsoft Fabric. I completely agree the integration between Data Factory pipelines and the Lakehouse layers makes managing Bronze, Silver, and Gold tables much smoother.
Iโve also been exploring OneLake, Spark notebooks, and ETL best practices, and it would be great to exchange ideas on pipeline orchestration, incremental loads, and optimizing Lakehouse performance.
Here are some official Microsoft Learn resources that might be helpful:
1) Lakehouse & OneLake
Lakehouse overview โ Understand the lakehouse architecture in Fabric
OneLake documentation โ Unified data lake fundamentals
Medallion Lakehouse architecture โ Bronze/Silver/Gold layers explained
Create a Lakehouse on OneLake โ Step-by-step guide
2) Data Factory & Pipelines
Fabric Data Factory docs โ Learn about pipelines, activities, and integrations
End-to-end Data Factory tutorial โ Practical pipeline examples
3) Spark & Notebooks
Fabric notebooks guide โ Basics of working with Spark notebooks
Spark best practices โ Optimizing Spark in Fabric
Looking forward to connecting and learning together! ๐๐ป
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If this answer helped, kindly give Kudos and mark it as the Accepted Solution
to help other members find it more quickly.
Best regards,
Vaibhav Mahajan
LinkedIn: https://www.linkedin.com/in/vaibhavnmahajan
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- deborshi_nag
Super User
Hi Krishna_11
Great to know you've started your journey on Microsoft Fabric. The Microsoft Learn pages are a fantastic place to start. Personally it was more than enough to complete my certification on Fabric!
Data Engineering in Microsoft Fabric documentation - Microsoft Fabric | Microsoft Learn
There are also GitHub pages with snippets of code if you're interested to learn further.
If this helps kindly give a Thumbs Up or Accept as a Solution.
- V-yubandi-msft
Community Support
Hi Krishna_11 ,
If you get a chance, please review the responses shared by vaibhavmahajan deborshi_nag and AntoineW . They have correctly pointed out the key points, so kindly check and let us know if you need any additional details.Thank you all for your valuable support.
Regards,
Yugandhar - V-yubandi-msft
Community Support
Hi Krishna_11 ,
May I know if your issue has been resolved, or if you need any additional information? Please let us know if you need any further assistance.
Thank you