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100 SQL Server Mistakes and How to Avoid Them by Peter Carter

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Product Details

Book Summary

100 SQL Server Mistakes and How To Avoid Them primes you on the pitfalls database professionals often fall into — from administration to development, availability, and security. You’ll dodge common mistakes that slow down your T-SQL code, and ensure your SQL server is installed and configured in a way that can handle anything your organization throws at it.

Inside 100 SQL Server Mistakes and How To Avoid Them you’ll learn to avoid:

Are your T-SQL queries running slowly? Are you worried about your server’s availability or bad actors trying to steal your data? Have you just been handed a new SQL Server Instance to administer and aren’t quite sure what to do? Never fear! 100 SQL Server Mistakes and How To Avoid Them will make you into a SQL Server veteran without needing to make dozens of mistakes yourself.

about the book

There’s no “happy path” in 100 SQL Server Mistakes and How To Avoid Them. The book focuses exclusively on the errors and screw-ups that you might (and probably will) make as an unprepared SQL Server admin or developer. Real-world issues taken from author Peter Carter’s two decade long career in SQL Server fill each chapter. Peter’s seasoned advice helps dispel myths, debunk misconceptions and set you on the right path with examples, expert guidance, useful code samples, and helpful diagrams. You’ll learn how to write performant code, set coding standards, design database schemas, add error handling, and work with complex data types. Plus, learn how to select the right OS for your installation, optimize your SQL Server instances and databases, and avoid pitfalls relating to high availability, disaster recovery, and security.

about the reader

For junior database admins, full-stack developers, and “accidental” DBAs who understand basic SQL Server concepts and can write simple SQL queries.

about the author

Peter Carter is a SQL Server expert with nearly two decades of experience in developing SQL Server, administering SQL Server, and architecting data-tier applications and SQL Server platforms. He also has many years of experience as a SQL Server trainer and SQL Server author.

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