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The MySQL Workshop

You're reading from   The MySQL Workshop A practical guide to working with data and managing databases with MySQL

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781839214905
Length 726 pages
Edition 1st Edition
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Authors (2):
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Scott Cosentino Scott Cosentino
Author Profile Icon Scott Cosentino
Scott Cosentino
Thomas Pettit Thomas Pettit
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Thomas Pettit
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Table of Contents (22) Chapters Close

Preface 1. Section 1: Creating Your Database
2. Chapter 1: Background Concepts FREE CHAPTER 3. Chapter 2: Creating a Database 4. Chapter 3: Using SQL to Work with a Database 5. Chapter 4: Selecting, Aggregating, and Applying Functions 6. Section 2: Managing Your Database
7. Chapter 5: Correlating Data across Tables 8. Chapter 6: Stored Procedures and Other Objects 9. Chapter 7: Creating Database Clients in Node.js 10. Chapter 8: Working with Data Using Node.js 11. Section 3: Querying Your Database
12. Chapter 9: Microsoft Access – Part 1 13. Chapter 10: Microsoft Access – Part 2 14. Chapter 11: MS Excel VBA and MySQL – Part 1 15. Chapter 12: Working With Microsoft Excel VBA – Part 2 16. Section 4: Protecting Your Database
17. Chapter 13: Getting Data into MySQL 18. Chapter 14: Manipulating User Permissions 19. Chapter 15: Logical Backups 20. Other Books You May Enjoy Appendix

Summary

In this chapter, we created reusable functions to connect to MySQL using two different types of ODBC connections. We also learned how to read and import data from MySQL into a worksheet, define named ranges for the imported data, and assign the named ranges to charts using VBA. We set chart labels and categories using VBA and created and used drop-down lists to load filtered data, display data, and use it in charts. We then set some data collections from MySQL that will run when a workbook is opened.

We learned about the advantages of creating generic data readers that can run various SQL statements and return results for use in Excel. We imported data for editing or adding records and wrote the changes back to MySQL. We exported Excel data to MySQL as a new table and created pivot tables with attached charts.

The purpose of including Chapter 9 and Chapter 10 was to introduce you to several methods of using MySQL with Excel by using DSN connections, VBA, and MySQL for...

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