Incremental Refresh in Power BI, Part 1: Implementation in Power BI Desktop

If you're looking to optimize your Power BI data loading process, incremental refresh (IR) might just be the solution you're looking for. This article covers the implementation of IR in Power BI desktop, providing a simple explanation of the process for those unfamiliar with the concept.

The basic principle of IR involves loading data incrementally rather than in one bulk load. This is achieved by breaking down large data sets into smaller chunks based on a selected range of values such as dates, and only loading new or updated data into the existing data set. By doing so, IR reduces the load on the Power BI server, minimizes data transfer, and improves query performance.

Overall, IR is an effective technique for managing large data sets and optimizing Power BI performance. So, whether you're a seasoned Power BI expert or just starting your data analysis journey, this article provides valuable insights into improving your data loading process.

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