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SQL Query Design Patterns and Best Practices

You're reading from   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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Product type Paperback
Published in Mar 2023
Publisher Packt
ISBN-13 9781837633289
Length 270 pages
Edition 1st Edition
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Authors (6):
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Chi Zhang Chi Zhang
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Chi Zhang
Steven Hughes Steven Hughes
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Steven Hughes
Shabbir Mala Shabbir Mala
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Shabbir Mala
Dennis Neer Dennis Neer
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Dennis Neer
Leslie Andrews Leslie Andrews
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Leslie Andrews
Ram Babu Singh Ram Babu Singh
Author Profile Icon Ram Babu Singh
Ram Babu Singh
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1: Refining Your Queries to Get the Results You Need
2. Chapter 1: Reducing Rows and Columns in Your Result Sets FREE CHAPTER 3. Chapter 2: Efficiently Aggregating Data 4. Chapter 3: Formatting Your Results for Easier Consumption 5. Chapter 4: Manipulating Data Results Using Conditional SQL 6. Part 2: Solving Complex Business and Data Problems in Your Queries
7. Chapter 5: Using Common Table Expressions 8. Chapter 6: Analyze Your Data Using Window Functions 9. Chapter 7: Reshaping Data with Advanced Techniques 10. Chapter 8: Impact of SQL Server Security on Query Results 11. Part 3: Optimizing Your Queries to Improve Performance
12. Chapter 9: Understanding Query Plans 13. Chapter 10: Understanding the Impact of Indexes on Query Design 14. Part 4: Working with Your Data on the Modern Data Platform
15. Chapter 11: Handling JSON Data in SQL Server 16. Chapter 12: Integrating File Data and Data Lake Content with SQL 17. Chapter 13: Organizing and Sharing Your Queries with Jupyter Notebooks 18. Index 19. Other Books You May Enjoy Appendix: Preparing Your Environment

Summary

In this chapter, you learned how SQL Server supports JSON as incoming data as well as how to build JSON documents from relational data. By understanding the functions that were included in this chapter, you will be able to navigate JSON data and build tabular results that can be easily used in reporting. You should now understand how to create JSON documents from relational databases that can be used by applications and developers to exchange data with SQL Server. By using these functions and techniques, you are better prepared to handle the modern data estate, which includes streaming and web-based data that is commonly formatted as JSON.

In the next chapter, we will be discussing how to work with data in your data lake or files. If that data is stored in JSON, you’ll be able to use the functions from this chapter directly with the data coming from those files or data lakes.

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