What is predicate pushdown and why is it important?

< 1 min read

Predicate pushdown means applying filters directly at the database level before data is loaded into the reporting tool.
In one project, we filtered sales data by current financial year in the SQL query itself.
Instead of loading 5 years of data, only relevant records were fetched.
This significantly reduced dataset size and refresh time.
The database engine handled filtering efficiently using indexes.
If filtering was done in Power BI after loading full data, performance would drop.
It also reduces memory consumption and network transfer.
So predicate pushdown ensures better performance and optimized resource usage.

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