What is predicate pushdown and why is it important?

< 1 min read

Predicate pushdown means applying filters at the data source level instead of in the reporting layer.
In one project, instead of loading full transaction data, we filtered by date range directly in the SQL query.
This reduced the number of rows brought into Power BI.
It minimized memory usage and improved refresh performance.
When filters are pushed down, the database engine handles them efficiently using indexes.
If filtering happens later in the BI tool, it processes more unnecessary data.
It is especially important for large fact tables with millions of records.
Overall, predicate pushdown improves speed, efficiency, and scalability of analytics solutions.

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