What’s the role of Power BI Dataflows in ETL pipelines?

rhutvikgawade
rhutvikgawade
  • rhutvikgawade
  • Yesterday

Power BI Dataflows are critical components of extract, transform, load (ETL) pipelines, empowering self-service data preparation while allowing organization and centralization of data transformation logic. General in nature, dataflows allow users to extract data from multiple sources, and prepare that data with Power Query Online. That data is then stored inside an azure data lake allowing that data to not only be reused in one Power BI dataset, but multiple Power BI datasets. The result is the ability for enterprise-level data models that are consistent, reusable, and scalable.


During Power BI Classes in Pune you will learn about the parts of ETL logic in addition to the role of Power BI Dataflows in the overall data architecture. Students will comprehend how dataflows prevent duplication of transformation logic while building reports more efficiently.


If the Power BI Course in Pune is well-structured, students will receive a structured learning plan to explore the implementation of reusable dataflows with incremental refresh logic while also learning about integrations with additional Microsoft services like Azure, SharePoint, Teams, SQL Database Storage, etc. Students will learn how to isolate data preparation logic from the report authoring team members making internal collaboration easier in a large organization.

During Power BI Training in Pune, participants will be expected to build and manage their own dataflows from real, relevant business projects. Learning outcomes will include best practice considerations for performance (i.e. refresh schedules, etc.), and the impact of proper data governance through one centralized collaborative relationship with the transformation logic.


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