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# Slowly Changing Dimensions in Microsoft Fabric

**[The Art of Simplicity](https://daily.dev/sources/bartwullems)** · 7 min read · 0 upvotes · 0 comments

## Summary

Microsoft Fabric's Copy job now includes native SCD Type 2 support as a built-in write method, eliminating the need for custom PySpark notebooks or complex Dataflow Gen2 merge logic. When enabled, it automatically adds Valid_From, Valid_To, and Is_Current columns to the destination table, handles row expiration on updates, and soft-deletes removed records. The post explains when to choose Type 1 vs Type 2 (a business decision, not a tooling one), walks through the configuration steps, and details current limitations: connector support is limited to Azure SQL DB, Azure SQL MI, on-premises SQL Server, and Fabric Lakehouse tables; the destination table must be created by Copy job itself; column mappings cannot be changed after enabling SCD Type 2; and CDC must be enabled on the source. For cases requiring custom change-detection logic, unsupported connectors, or fine-grained surrogate key control, notebooks remain the better option.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://bartwullems.blogspot.com/2026/07/slowly-changing-dimensions-in-microsoft.html>

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---

Tags: [#data-warehouse](https://daily.dev/tags/data-warehouse), [#change-data-capture](https://daily.dev/tags/change-data-capture), [#microsoft-fabric](https://daily.dev/tags/microsoft-fabric)

[View this post on daily.dev](https://daily.dev/posts/slowly-changing-dimensions-in-microsoft-fabric-kxr0vux1k)

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