Power BI can read SQL Server through Import or DirectQuery; stable views, folding, and workload checks keep the database responsive.
Finding the Slowest Statement Inside a Stored Procedure
Find the slowest statement inside a stored procedure using query stats offsets, CPU and read totals, then confirm with Query Store.
Raising a Database Compatibility Level Safely
Raise a compatibility level safely by capturing a Query Store baseline, changing one database, comparing plans, and keeping a tested reversal.
Calculating the Cost of a Slow Query
Cost of a slow query includes frequency, CPU, reads, waits, and user time; learn to turn SQL Server measurements into a practical tuning priority.
Finding the Most Frequently Run Queries
Most frequently run queries can consume large SQL Server resources even when each call is fast; use plan cache and Query Store to find them.
Scaling Out Read Queries
Scaling out read queries uses replicas, caches, and routing with measured freshness and operating cost; learn when each path fits.