Incremental Refresh in Power BI, Part 2; Best Practice; Do NOT Publish Data Model Changes from Power BI Desktop
If you're looking to implement incremental data refresh in Power BI Desktop, this post is an essential read. In a previous post, the author delved into important concepts such as truncation, load versus incremental load, historical and incremental ranges, and the benefits of adopting incremental refresh for large tables. In this follow-up post, the author stresses the importance of not publishing data model changes from Power BI Desktop and instead using source control management to maintain and manage changes.
The post Incremental Refresh in Power BI, Part 2; Best Practice; Do NOT Publish Data Model Changes from Power BI Desktop emphasizes that publishing data model changes can result in significant problems, including slowing down the entire data model's performance. Therefore, it is critical to adopt a disciplined approach to maintain changes using source control management.
If you're keen to ensure that your Power BI Desktop deployment is optimized to its fullest potential, this post offers valuable insights and practical tips to take your data refresh strategy to the next level.
The post Incremental Refresh in Power BI, Part 2; Best Practice; Do NOT Publish Data Model Changes from Power BI Desktop originally appeared on BI Insight.
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