Connecting on Data Engineering: Lakehouses & Pipelines 🚀

Hi Krishna_11 ,

I hope you are doing well today 🙂❤️

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.

I’ve 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 – Understand the lakehouse architecture in Fabric

• OneLake documentation – Unified data lake fundamentals

• Medallion Lakehouse architecture – Bronze/Silver/Gold layers explained

• Create a Lakehouse on OneLake – Step-by-step guide

2) Data Factory & Pipelines

• Fabric Data Factory docs – Learn about pipelines, activities, and integrations

• End-to-end Data Factory tutorial – Practical pipeline examples

3) Spark & Notebooks

• Fabric notebooks guide – Basics of working with Spark notebooks

• Spark best practices – Optimizing Spark in Fabric

Looking forward to connecting and learning together! 🚀💻

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Best regards,

Vaibhav Mahajan

LinkedIn: https://www.linkedin.com/in/vaibhavnmahajan

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