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
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