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Incremental Refresh in Power BI, Part 3: Best Practices for Large Semantic Models

Incremental Refresh in Power BI, Part 3: Best Practices for Large Semantic Models

If you're working with large semantic models in Power BI, there are a few incremental refresh best practices that are worth keeping in mind. This post is the third in a series that explores how to implement incremental refresh, what it is, and how to safely publish semantic model changes to Microsoft Fabric. In this post, you'll dig into the specifics of best practices for using incremental refresh with large semantic models.

Implementing incremental refresh in Power BI allows for more efficient data processing, and can significantly reduce the amount of processing time and memory required to handle large datasets. By following the best practices outlined in this tutorial, you can ensure a smooth and worry-free experience while working with large semantic models.

Whether you're an experienced data analyst or just starting on your journey with Power BI, this tutorial equips you with the best practices to effectively implement incremental refresh and optimize your data processing pipelines.

The post Incremental Refresh in Power BI, Part 3: Best Practices for Large Semantic Models originally appeared on BI Insight.

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