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Enhance your SQL query writing skills to provide greater business value using advanced techniques such as common table expressions, window functions, and JSON
Purchase of the print or Kindle book includes a free PDF eBook
Key Features:Examine query design and performance using query plans and indexes
Solve business problems using advanced techniques such as common table expressions and window functions
Use SQL in modern data platform solutions with JSON and Jupyter notebooks
Book Description:
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.
What You Will Learn:Build efficient queries by reducing the data being returned
Manipulate your data and format it for easier consumption
Form common table expressions and window functions to solve complex business issues
Understand the impact of SQL security on your results
Understand and use query plans to optimize your queries
Understand the impact of indexes on your query performance and design
Work with data lake data and JSON in SQL queries
Organize your queries using Jupyter notebooks
Who this book is for:
This book is for SQL developers, data analysts, report writers, data scientists, and other data gatherers looking to expand their skills for complex querying as well as for building more efficient and performant queries.
For those new to SQL, this book can help you accelerate your learning and keep you from making common mistakes.
About the author
Steve Hughes is a senior director of data and analytics at 3Cloud. In this role, he focuses on growing the teams' skills and capabilities to deliver data projects with Azure. He has worked with technology for over 20 years, with much of that time spent on creating business intelligence (BI) solutions and helping customers implement leading BI and cloud solutions. He is passionate about using data effectively and helping customers understand that data is valuable and profitable. Steve has recently been diagnosed with ALS but continues to work and share with others what he has learned. Steve is also the founder of Data on Wheels where he blogs with one of his daughters on topics such as data, analytics, and work enablement.
