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SQL Query Design Patterns and Best Practices

SQL Query Design Patterns and Best Practices

By : Steve Hughes, Steven Hughes, Dennis Neer, Dr. Ram Babu Singh, Shabbir H. Mala, Leslie Andrews, Chi Zhang, Neer, Ram Babu Singh, Shabbir Mala, Andrews, Zhang
4.7 (11)
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SQL Query Design Patterns and Best Practices

SQL Query Design Patterns and Best Practices

4.7 (11)
By: Steve Hughes, Steven Hughes, Dennis Neer, Dr. Ram Babu Singh, Shabbir H. Mala, Leslie Andrews, Chi Zhang, Neer, Ram Babu Singh, Shabbir Mala, Andrews, Zhang

Overview of this book

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.
Table of Contents (21 chapters)
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1
Part 1: Refining Your Queries to Get the Results You Need
6
Part 2: Solving Complex Business and Data Problems in Your Queries
11
Part 3: Optimizing Your Queries to Improve Performance
14
Part 4: Working with Your Data on the Modern Data Platform

Analyze Your Data Using Window Functions

Window functions have been part of SQL Server since the 2005 release, and while they don’t let you do anything that you can’t do with traditional queries, it makes those complicated queries much easier to write and read and usually executes them faster than traditional queries.

There are three different categories of window functions: ranking, value, and aggregate.

In this chapter, we will look at the different functions within each category and see what type of business problems each can be used to solve. We will examine example queries to understand what each function does and how to construct the function within the query. We will also learn the different keywords required to call the function and develop some complex outputs.

The main topics we will cover in this chapter are as follows:

  • Understanding window functions
  • Using window functions
  • Example scenarios and business problems

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