Book Image

SQL Query Design Patterns and Best Practices

By : Steve Hughes, Dennis Neer, Dr. Ram Babu Singh, Shabbir H. Mala, Leslie Andrews, Chi Zhang
5 (1)
Book Image

SQL Query Design Patterns and Best Practices

5 (1)
By: Steve Hughes, Dennis Neer, Dr. Ram Babu Singh, Shabbir H. Mala, Leslie Andrews, Chi 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)
Part 1: Refining Your Queries to Get the Results You Need
Part 2: Solving Complex Business and Data Problems in Your Queries
Part 3: Optimizing Your Queries to Improve Performance
Part 4: Working with Your Data on the Modern Data Platform

Managing and sharing your queries with Jupyter notebooks

Congratulations on completing your first notebook in Azure Data Studio. As you can see, it is a great way to consolidate SQL code with related documentation. Now that you have a notebook to share, we will discuss how to share it.

Simple sharing of Jupyter books and notebooks

The reality is that sharing your notebook is as simple as sharing the Jupyter notebook file. You can send this via email or share for people to download. Sharing notebooks in this fashion is an easy way to distribute code with all the relevant documentation needed for others to use your code. Once another user has access to your notebook, they can use the Open File option in the File menu to open that notebook directly in Azure Data Studio. Once they have opened the notebook, they only need to connect to a compatible data source to work with the code in the notebook.

Sharing your entire Jupyter book involves sharing the folder and all of its related...