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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

Formatting Your Results for Easier Consumption

In the world of business intelligence, business analysts often get very specific requirements from the end users on what they want to see in the reports. As data analysts/business intelligence engineers, we want to make sure we have the skills to fulfill that need, for example, by getting into details such as the language the report uses, the decimal precision for the total spending of a customer, to the specific date format for a quarterly payout. These are all things we should gather requirements for from our end users and have the skill to deliver. Creating easily readable results is almost as important as the data itself!

In this chapter, we’ll learn to format a few different fields by going through some examples that display the breadth and flexibility available to us. Starting with dates, as they would be seen in different countries around the world and in the many different day, month, quarter, and year combos possible...

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