Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
The MySQL Workshop

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

Arrow left icon
Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781839214905
Length 726 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Scott Cosentino Scott Cosentino
Author Profile Icon Scott Cosentino
Scott Cosentino
Thomas Pettit Thomas Pettit
Author Profile Icon Thomas Pettit
Thomas Pettit
Arrow right icon
View More author details
Toc

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

An introduction to querying data

In the previous chapter, we covered multiple ways of getting data into MySQL. We imported data in CSV, JSON, and SQL formats into tables and collections. Now, we want to use MySQL to get information out of the data. The main benefit of having data in a MySQL database is that you can query it, combine multiple tables, and aggregate and filter results. This makes it easy to create reports on the data. This is not limited to data stored in tables; it is still possible to do this if the data resides in a collection of JSON documents.

An example of this is having a database that stores an inventory of the laptops that the company has and then producing reports based on the different types of laptops and the different warranty periods.

In this chapter, you will learn how to filter the results – for example, filtering for only one brand of laptop. Then, you will learn how to use functions – for example, to calculate the days remaining in...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image