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SQL Query Design Patterns and Best Practices

You're reading from  SQL Query Design Patterns and Best Practices

Product type Book
Published in Mar 2023
Publisher Packt
ISBN-13 9781837633289
Pages 270 pages
Edition 1st Edition
Languages
Authors (6):
Steve Hughes Steve Hughes
Profile icon Steve Hughes
Dennis Neer Dennis Neer
Profile icon Dennis Neer
Dr. Ram Babu Singh Dr. Ram Babu Singh
Profile icon Dr. Ram Babu Singh
Shabbir H. Mala Shabbir H. Mala
Profile icon Shabbir H. Mala
Leslie Andrews Leslie Andrews
Profile icon Leslie Andrews
Chi Zhang Chi Zhang
Profile icon Chi Zhang
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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 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

Efficiently Aggregating Data

In the previous chapter, you learned how to reduce the number of rows and columns contained in your dataset so that you have the data required to do the analysis that you are interested in. The next step that you will want to do is to aggregate your data so that you have summarized information making it easier to show the information in an easy-to-consume dataset.

In this chapter, you will learn the what, when, and how of data aggregation in SQL so that the dataset can be used by most end users to do successful analytics. We will start with what data should be aggregated, followed by a discussion on when the data should be aggregated and the different methods of aggregating the data. The chapter will wrap up with a short discussion on how to develop aggregations that are efficient and have minimal impact on your SQL server resources.

In this chapter, we will cover the following main topics:

  • Identifying data to be aggregated
  • Determining...
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