100 SQL Server Mistakes and How to Avoid Them
eBook Details:
- Paperback: 408 pages
- Publisher: WOW! eBook (December 31, 2024)
- Language: English
- ISBN-10: 163343740X
- ISBN-13: 978-1633437401
eBook Description:
100 SQL Server Mistakes and How to Avoid Them: All the mistakes you might make with SQL Server and how to avoid them!
100 SQL Server Mistakes and How to Avoid Them prepares you for the pitfalls database professionals often encounter from administration to development, availability, and security. You’ll learn to sidestep common errors that slow down your T-SQL code and ensure your SQL Server is installed and configured to handle anything your organization throws at it.
Inside 100 SQL Server Mistakes and How to Avoid Them you’ll learn to avoid:
- Development errors when writing T-SQL
- Installation and administration mistakes
- Optimization missteps
- Common pitfalls relating to high availability and disaster recovery (HA/DR)
- Security oversights that can endanger your data
100 SQL Server Mistakes and How to Avoid Them doesn’t focus on the “happy path” instead, it covers all the errors and problems you might face as a SQL Server developer or administrator. Each chapter is filled with real-world issues drawn from author Peter A. Carter’s two-decade-long career in SQL Server. Peter’s seasoned advice helps dispel myths, debunk misconceptions, and set you on the right road.
Perfecting a SQL Server system can be a complex balancing act. Why is T-SQL running so slowly? Are the right data available? Are we protected against data theft? What about that new server instance I need to administer? Even the most skilled SQL Server experts make mistakes that cost time and performance. This book can help you get it right the first time.
100 SQL Server Mistakes and How to Avoid Them focuses exclusively on the errors that you might and probably will make as a SQL Server admin or developer. Real-world examples, code samples, and helpful diagrams make it easy to understand each issue and its solution. You’ll learn how to write performant code, design efficient database schemas, implement error handling, work with complex data types, and much more, all in a friendly, common-sense problem/solution format.