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Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
GROUP BY Clause.
Is the official documentation for MySQL, including a section on the GROUP BY clause. It provides detailed information on the syntax and usage of GROUP BY, as well as examples of how to use GROUP BY in various scenarios.
Is the official documentation for PostgreSQL, including a section on the GROUP BY clause. It provides detailed information on the syntax and usage of GROUP BY, as well as examples of how to use GROUP BY in various scenarios.
Comprehensive guide to the GROUP BY clause. It covers everything from the basics of GROUP BY to more advanced topics, such as using GROUP BY with window functions and Common Table Expressions (CTEs).
Identifies and explains common SQL antipatterns, including antipatterns related to the GROUP BY clause. It provides guidance on how to avoid these antipatterns and write efficient and maintainable SQL code.
Provides a comprehensive overview of SQL, including a section on the GROUP BY clause. It covers the basics of GROUP BY, as well as more advanced concepts, such as using GROUP BY with aggregate functions and subqueries.
Provides a collection of best practices for writing SQL code, including best practices for using the GROUP BY clause. It covers topics such as choosing the right aggregate functions, using subqueries with GROUP BY, and avoiding common performance pitfalls.
Practical guide to using the GROUP BY clause for data aggregation and summarization. It provides step-by-step instructions on how to use GROUP BY to solve common business problems, such as finding the total sales for each product or the average salary for each employee.
Provides a collection of best practices for writing DB2 SQL code, including best practices for using the GROUP BY clause. It covers topics such as choosing the right data types, using indexes to improve performance, and avoiding common security pitfalls.
Covers a wide range of SQL performance tuning topics, including how to optimize GROUP BY queries. It provides detailed explanations of how GROUP BY works and how to avoid common performance pitfalls.
Provides a collection of best practices for writing SQL Server code, including best practices for using the GROUP BY clause. It covers topics such as choosing the right data types, using indexes to improve performance, and avoiding common security pitfalls.
Provides a collection of best practices for writing Oracle SQL code, including best practices for using the GROUP BY clause. It covers topics such as choosing the right optimizer mode, using materialized views to improve performance, and avoiding common security pitfalls.
For more information about how these books relate to this course, visit:
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