Question

How do I structure an efficient ETL pipeline in Power BI using Power Query?
I use Power Query for data transformation, but I want guidance on structuring a clean, modular, and performance-optimized ETL pipeline within Power BI.

Answer 1

To use Power Query to organize an effective ETL pipeline in Power BI:

1. Employ a Layered Approach RAW: Import data straight from the source.

Staging: Rename, clean, and filter the columns.

Business: Use merges, calculations, and reasoning.

OUTPUT: The final report visual table.

2. Make Use of Reference Queries

To cut down on redundancy and boost performance, use references rather than duplicate queries.

3. Maintain Modularity in Your Queries

Divide transformations into manageable, straightforward steps to facilitate reusability and debugging.

4. Enhance Efficiency

Eliminate superfluous columns as soon as possible; do not use tables. Reduce the number of custom columns in big datasets and buffers unless necessary.

5. Utilize Functions & Parameters

Make reusable parts for environment configurations, folder paths, and dynamic filtering.

Your ETL is kept tidy, scalable, and manageable with this structure.