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SQL Server 2022 Query Performance Tuning: Troubleshoot and Optimize Query Performance
90% of respondents would recommend this to a friend
€ 83
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Troubleshoot slow-performing queries and make them run faster.
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What Stands Out
Product Details
- Troubleshoot and optimize slow-performing queries
- Provides knowledge and tools to identify and resolve performance issues
- Covers fundamentals like statistics, data distribution, and cardinality
- Includes information on modern features like Query Store and automated performance tuning
- Suitable for developers and database administrators responsible for query performance
- Applicable to SQL Server environments on-premises, in containers, or on cloud platform providers
| Publisher | Apress |
| Publication date | November 10, 2022 |
| Edition | Sixth |
| Language | English |
| Print length | 748 pages |
| ISBN-10 | 1484288904 |
| ISBN-13 | 978-1484288900 |
| Item Weight | 3.1 pounds (1.41 kg) |
| Dimensions | 7.01 x 1.69 x 10 inches (17.8 x 4.3 x 25.4 cm) |
Who Should Buy?
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Database Administrators
Essential for DBAs seeking to enhance SQL Server query performance and troubleshooting strategies effectively.
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SQL Developers
Ideal for developers interested in optimizing queries and understanding performance metrics for better application efficiency.
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IT Professionals
Useful for IT staff needing comprehensive knowledge of SQL Server tuning practices to support business applications.
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Beginner Users
Not suitable for novices lacking foundational SQL knowledge or experience in database management.
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Pros
- Comprehensive troubleshooting techniques
- In-depth performance optimization strategies
- Covers latest SQL Server features
- Practical examples and case studies
- User-friendly for all skill levels
Cons
- Some advanced topics may overwhelm
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Features & Benefits
- Troubleshoot slow-performing queries and optimize query performance
- Includes information on advanced features like extended events and automatic execution plan correction
- Provides mechanisms for resolving performance issues on-premises, in containers, or on cloud platforms
- Learn key fundamentals like statistics, indexes, data distribution, and parameter sniffing
- Utilize modern features like Query Store, automated performance tuning, and memory-optimized tables
- Make query tuning easier with systematic troubleshooting
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