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SQL Server 2025 Query Performance Tuning: Troubleshoot and Optimize Query Performance
Empower yourself to troubleshoot slow-performing queries and make them run faster than ever.
SQL Server 2025 Query Performance Tuning: Troubleshoot and Optimize Query Performance
Item #: 211425260

SQL Server 2025 Query Performance Tuning: Troubleshoot and Optimize Query Performance

Item #: 211425260

MYR 258

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What Stands Out

In-depth Techniques
This edition provides advanced techniques for diagnosing and optimizing SQL Server queries, ensuring improved performance and efficiency for database administrators and developers facing complex query challenges.
Latest Updates
Includes the most recent features and updates in SQL Server 2025, providing readers with relevant and up-to-date information to effectively tackle performance tuning challenges in modern databases.
Practical Examples
Offers practical, real-world examples that demonstrate effective query tuning practices, making it easier for users to apply learned techniques to optimize their own SQL Server performance confidently.

Maklumat produk

Shop SQL Server 2025 Query Performance Tuning: Troubleshoot and Optimize Query Performance online at a best price in Malaysia. B0FHJT2736
  • A new era of SQL Server is here, and this latest edition of Grant Fritchey’s best-selling dive into SQL Server query performance can ensure your queries keep up.The fundamentals are still here: You’ll learn how statistics and indexes impact performance, how to identify poorly performing queries, and how to discover effective solutions. But this new edition also includes advanced features unique to SQL Server 2025, such as AI integration for automatic tuning, insights on using extended events, automatic execution plan correction, and more. It’s a must-have resource designed to empower you to troubleshoot slow-performing queries and make them run faster than ever.The book is a treasure trove of instruction, insight, and advice. As you dive in, you’ll encounter key fundamentals, from statistics and data distribution to cardinality and parameter sniffing, and learn to analyze and design your indexes and queries using best practices that prevent performance problems before they occur. You’ll also explore advanced features like Query Store for managing and controlling execution plans, automated performance tuning, and memory-optimized OLTP tables and procedures—and learn how SQL Server 2025 makes it all more powerful and automatable than ever.What You Will LearnUse Query Store to understand and easily change query performanceRecognize and eliminate bottlenecks leading to slow performanceTune queries whether on-premises, in containers, or on cloud platform providersImplement best practices in T-SQL to minimize performance riskDesign in the performance that you need through careful query and index designUnderstand how built-in, automatic tuning can assist your performance enhancement effortsProtect query performance during upgrades to the newer versions of SQL ServerWho This Book Is ForDevelopers and database administrators with responsibility for query performance in SQL Server environments, and anyone responsible for writing or creating T-SQL queries and in need of insight into bottlenecks—including how to identify them, understand them, and eliminate them
Publisher Apress
Publication date February 1, 2026
Edition Seventh
Language English
Print length 783 pages
ISBN-13 979-8868818646
Item Weight 3.18 pounds (1.44 kg)
Dimensions 7.01 x 1.77 x 10 inches (17.8 x 4.5 x 25.4 cm)

Who Should Buy?

Suitable For
  • Database Administrators

    Ideal for DBAs who need to troubleshoot and optimize SQL Server query performance regularly.

  • Developers

    Useful for developers aiming to enhance their SQL queries for better efficiency and response times.

  • Data Analysts

    Beneficial for data analysts looking to understand and improve query performance for data retrieval and reporting.

Not Suitable For
  • Beginners

    Not suitable for newcomers to SQL, as it assumes a foundational knowledge of SQL Server concepts.

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