Incremental Refresh
Last updated
What is Incremental Refresh?
Incremental refresh configures a dataset to only reload recent data on each refresh, rather than reprocessing the entire history every time. It uses date-based partitions defined with parameters, refreshing a small recent window while leaving older partitions untouched. This significantly cuts refresh time and resource use for large, growing datasets.
Free resources to learn Incremental Refresh
More in stage 8: Model Objects
Incremental Refresh: common questions
Can I learn Incremental Refresh in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Incremental Refresh in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Incremental Refresh tutorial for beginners?
It is lesson 48 of 131 in the free Power BI roadmap, in stage 8, Model Objects. If you are new to Power BI, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.