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211425260
SQL Server 2025 Query Performance Tuning: Troubleshoot and Optimize Query Performance
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Item #:
211425260
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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.
Product Details
| 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?
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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.
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Data Analysts
Beneficial for data analysts looking to understand and improve query performance for data retrieval and reporting.
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Beginners
Not suitable for newcomers to SQL, as it assumes a foundational knowledge of SQL Server concepts.
Product Description
SQL Server 2025 Query Performance Tuning: Troubleshoot and Optimize Query Performance
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Pros
- Comprehensive performance tuning tips
- Easy to understand for beginners
- Includes real-world examples
- Updated with the latest features
- Well-structured and organized content
Cons
- Some sections may feel verbose.
Product Price History
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€ 48
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Features & Benefits
- Learn to use Query Store for managing execution plans.
- Identify and eliminate bottlenecks impacting query performance.
- Implement best practices in T-SQL for risk minimization.
- Design effective queries and indexes for optimal performance.
- Utilize advanced features like AI integration for automatic tuning.
- Ideal for developers and DBAs focusing on SQL Server query performance.
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