SQL Query Design Patterns and Best Practices
Год издания: 2023
Автор: Hughes S., Neer D., Dr. Ram Babu Singh, Shabbir H. Mala, Andrews L., Zhang C.
Издательство: Packt
ISBN: 9781837633289
Язык: Английский
Формат: EPUB
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 270
Описание: SQL has been the de facto standard when interacting with databases for decades and shows no signs of going away. Through the years, report developers or data wranglers have had to learn SQL on the fly to meet the business needs, so if you are someone who needs to write queries, SQL Query Design and Pattern Best Practices is for you.
This book will guide you through making efficient SQL queries by reducing set sizes for effective results. You’ll learn how to format your results to make them easier to consume at their destination. From there, the book will take you through solving complex business problems using more advanced techniques, such as common table expressions and window functions, and advance to uncovering issues resulting from security in the underlying dataset. Armed with this knowledge, you’ll have a foundation for building queries and be ready to shift focus to using tools, such as query plans and indexes, to optimize those queries. The book will go over the modern data estate, which includes data lakes and JSON data, and wrap up with a brief on how to use Jupyter notebooks in your SQL journey.
By the end of this SQL book, you’ll be able to make efficient SQL queries that will improve your report writing and the overall SQL experience.
Оглавление
Preface
Part 1: Refining Your Queries to Get the Results You Need
Chapter 1: Reducing Rows and Columns in Your Result Sets
Chapter 2: Efficiently Aggregating Data
Chapter 3: Formatting Your Results for Easier Consumption
Chapter 4: Manipulating Data Results Using Conditional SQL
Part 2: Solving Complex Business and Data Problems in Your Queries
Chapter 5: Using Common Table Expressions
Chapter 6: Analyze Your Data Using Window Functions
Chapter 7: Reshaping Data with Advanced Techniques
Chapter 8: Impact of SQL Server Security on Query Results
Part 3: Optimizing Your Queries to Improve Performance
Chapter 9: Understanding Query Plans
Chapter 10: Understanding the Impact of Indexes on Query Design
Part 4: Working with Your Data on the Modern Data Platform
Chapter 11: Handling JSON Data in SQL Server
Chapter 12: Integrating File Data and Data Lake Content with SQL
Chapter 13: Organizing and Sharing Your Queries with Jupyter Notebooks
Index
Other Books You May Enjoy
Appendix: Preparing Your Environment
