SQL Query Design Patterns and Best Practices
(eBook)

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Published
Packt Publishing, 2023.
Format
eBook
ISBN
9781837630080
Status
Available Online

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Language
English

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Citations

APA Citation, 7th Edition (style guide)

Steve Hughes., Steve Hughes|AUTHOR., & Dennis Neer|AUTHOR. (2023). SQL Query Design Patterns and Best Practices . Packt Publishing.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Steve Hughes, Steve Hughes|AUTHOR and Dennis Neer|AUTHOR. 2023. SQL Query Design Patterns and Best Practices. Packt Publishing.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Steve Hughes, Steve Hughes|AUTHOR and Dennis Neer|AUTHOR. SQL Query Design Patterns and Best Practices Packt Publishing, 2023.

MLA Citation, 9th Edition (style guide)

Steve Hughes, Steve Hughes|AUTHOR, and Dennis Neer|AUTHOR. SQL Query Design Patterns and Best Practices Packt Publishing, 2023.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID603afeed-3a78-d79b-aa36-2b8b7f39b4d1-eng
Full titlesql query design patterns and best practices
Authorhughes steve
Grouping Categorybook
Last Update2024-05-31 18:07:01PM
Last Indexed2024-06-26 03:25:59AM

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    [synopsis] => 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.
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