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SQL Server 2025 Engineering
Diagnose Slow Queries, Master Execution Plans, Design Better Indexes, Optimize T-SQL, Resolve Blocking and Deadlocks, and Build Fast, Reliable Databases
SQL Server performance problems rarely have a single cause. Slow queries can result from poor execution plans, inefficient indexes, inaccurate statistics, parameter-sensitive queries, memory-grant issues, blocking, deadlocks, or workloads that exceed system capacity.
SQL Server 2025 Engineering gives you a practical, evidence-driven approach to finding the real cause and fixing it without relying on guesswork or performance myths.
You will learn how to:
Diagnose slow queries using execution plans, Query Store, DMVs, wait statistics, and Extended Events.
Design and validate indexes, statistics, and SARGable T-SQL.
Troubleshoot cardinality-estimation problems, parameter sensitivity, spills, memory grants, and parallelism.
Resolve blocking, deadlocks, concurrency problems, and tempdb pressure.
Build reliable performance baselines and measure before-and-after results.
Create representative load tests and plan CPU, memory, storage, tempdb, and transaction-log capacity.
Prepare for SQL Server 2025 upgrades while controlling compatibility and regression risks.
Apply performance fixes safely with deployment, rollback, and monitoring procedures.
At the center of the book is the RetailCore Performance Lab, a self-contained environment where you reproduce realistic SQL Server performance problems, investigate their causes, implement corrections, and validate the results.
You will also learn the TRACE Performance Engineering Method-a repeatable process for triaging problems, recording evidence, analyzing root causes, correcting verified issues, and evaluating the complete workload.
Whether you are a DBA, developer, data engineer, performance engineer, or SQL Server professional, this book will help you move from "SQL Server is slow" to a structured process for finding out why-and proving that your fix worked.
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