SQL Query Design Patterns and Best Practices: A practical guide to writing readable and maintainable SQL queries using its design patterns

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Key benefits

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

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.

Who is this book 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.

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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

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About the 7 authors

Steven Hughes

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. In his 20 years of experience in technology, much of the time was spent on creating business intelligence (BI) solutions and helping customers implement BI and cloud solutions. He is passionate about 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

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Steve Hughes

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Zhang

Chi Zhang is a lead data architect at 3Cloud. After completing her master's degree at Carnegie Mellon University, she worked in data consulting for the past 5 years. She has helped clients from various industries to deliver customized data solutions within Azure. Focusing on ETL, data warehousing, data modeling, and BI reporting, Chi solves data problems for clients and builds data solutions that provide business users with better operational insights and a smoother experience. Recently, she has continued to grow her footprint in the Azure community: earning certifications in Azure data engineering and data science, giving her first public tech talk, co-authoring a technical book, and becoming an active contributor to the SQL community

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Andrews

Andrews is a lead data architect of data and analytics at 3Cloud. Working in the IT sector for over 20 years in local government, electrical supply, law enforcement, and healthcare, she has broad experience to draw from to assist clients in making data more accessible for end users. Leslie's expertise includes SQL development, ETL, data warehousing, data modeling, and analytics. Leslie currently holds several Microsoft certifications related to Azure technologies for data engineering. She approaches each day as an opportunity to use data and technology to make it easier for others to do their daily work. Leslie has been doing public speaking since 2015, was an IDERA ACE in 2019, and is a supporter of and contributor to the SQL community

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Shabbir Mala

Shabbir H. Mala is a director of data and analytics at 3Cloud. He has over 23 years of experience in thought leadership and consulting, developing complex data solutions, business systems, and processes using Azure Data Services and Power BI. He currently manages a team of over 40 principals and senior architects focusing on business growth, successful project delivery, and client experience. He has done talks at Power BI conferences as well as user groups. He has been awarded Microsoft FastTrack Solution Architect in 2021 and 2022. He is currently living in Chicago, married, and has three beautiful kids

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Ram Babu Singh

Dr. Ram Babu Singh is a Microsoft Certified Professional with a Ph.D. in computer science. He is a lead architect of data and analytics at 3Cloud, using complex data analytics and data science solutions. In his 20 years of career, over a decade was spent in leadership positions providing data science and data platform solutions to the world's top IT consulting companies. He has been published in international journals and has a patent in his name

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Neer

Dennis Neer is a senior architect of data and analytics at 3Cloud. In this role, he focuses on working with clients to design Azure solutions for their data and analytic needs to improve their business decision-making process. This includes using tools such as SQL Server databases, Synapse, data lakes, and Power BI. In his 30 years of experience in technology, much of the time was spent on designing and building database and visualization solutions. He is passionate about helping businesses to understand data and use it to their advantage during their decision-making process

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Enrico Barillari Nov 07, 2023

Un libro interessante ed utile, lo consiglio anche a chi ha esperienza, per un ripasso ed un'integrazione

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John Bulla Jun 21, 2023

Have an accessible, practical guide to writing effective SQL queries is essential for any database professional. 'SQL Query Design Patterns and Best Practices' is exactly that: a comprehensive, well-structured guide that provides design patterns and best practices for optimizing SQL queries.The authors present the concepts in a clear and concise way, making it easy to understand even for professionals with basic knowledge of SQL. The examples and use cases further enrich the learning experience by allowing readers to see how design patterns are applied in real situations.One of the notable strengths of the book is its focus on the readability and maintainability of SQL queries. The featured design patterns not only help improve query performance, but also make code more understandable and maintainable. This is crucial for collaborative development teams and long-term projects.I recommend this book to anyone or professional interested in improving their SQL skills and maximizing the efficiency of their queries. From beginners to seasoned professionals, everyone will find value in this well-written practical guide. 'SQL Query Design Patterns and Best Practices' is a must-have reference for any database developer, DBA or analyst looking to take their SQL proficiency to the next level.

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joey Apr 03, 2023

I got this book to help improve my SQL skills, and it was extremely easy to follow along with. I especially liked the examples from chapter 3. It gives a really good place to begin from as you learn to format data. The use of a recurring data set and seeing the different ways you can manipulate it helps you get the concept and have it stick!

Shailesh May 29, 2023

One of the most practical books, I’ve read on SQL and Analytics. Strikes the right balance between theory & examples.Plenty of tips on industry standard Design patterns and best practices that come in handy while coding on the fly, whether you’re a Data-pro or an Analytics wizard, you’ll find some new tips & tricks. Great job authors!

Dr.Nirmal Lodhi Apr 25, 2023

I found this book especially useful in SQL beginner to expert journey. It covers useful basic SQL concept like appropriate technique of filtering the data, basic SQL functions then it moves towards expert level as SQL window functions, query optimization for better performance, Impact of Indexing, Introduction of new concept like handling JSON data, data Lake, Jupiter notebooks. I specially mention very well exampled part of this book “The impact of indexes on query performance” page no 154, this part provides a particularly good example of what is the need to including appropriate index, check the fragmentation and factors responsible for decision making of DBAs for rebuild or reorganize the indexes. A good start for SQL basic and advance learning.

SQL Query Design Patterns and Best Practices: A practical guide to writing readable and maintainable SQL queries using its design patterns

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