Incremental Refresh (IR) optimizes performance and reduces data processing time by refreshing only new or changed data instead of reloading everything. However, after configuring IR, it’s essential to verify that it works correctly. There are cases where everything seems fine initially—only to later discover that data isn’t being partitioned as expected. This guide explains how
By default, Power BI incremental refresh partitions only include data up to the current period, leaving future-dated entries excluded. This can be problematic for scenarios requiring forward-looking data. In this article, we demonstrate how to modify the partitioning logic to include future dates within the most recent partition. While this example focuses on day-level refresh
Incremental refresh in Power BI typically implements a rolling window for dates and data, as shown in this image from the official documentation: But what if you need to archive data starting from a specific fixed date? In other words, instead of a rolling window, you want the window to expand over time while preserving