Book Image

The MySQL Workshop

By : Thomas Pettit, Scott Cosentino
5 (1)
Book Image

The MySQL Workshop

5 (1)
By: Thomas Pettit, Scott Cosentino

Overview of this book

Do you want to learn how to create and maintain databases effectively? Are you looking for simple answers to basic MySQL questions as well as straightforward examples that you can use at work? If so, this workshop is the right choice for you. Designed to build your confidence through hands-on practice, this book uses a simple approach that focuses on the practical, so you can get straight down to business without having to wade through pages and pages of dull, dry theory. As you work through bite-sized exercises and activities, you'll learn how to use different MySQL tools to create a database and manage the data within it. You'll see how to transfer data between a MySQL database and other sources, and use real-world datasets to gain valuable experience of manipulating and gaining insights from data. As you progress, you'll discover how to protect your database by managing user permissions and performing logical backups and restores. If you've already tried to teach yourself SQL, but haven't been able to make the leap from understanding simple queries to working on live projects with a real database management system, The MySQL Workshop will get you on the right track. By the end of this MySQL book, you'll have the knowledge, skills, and confidence to advance your career and tackle your own ambitious projects with MySQL.
Table of Contents (22 chapters)
1
Section 1: Creating Your Database
6
Section 2: Managing Your Database
11
Section 3: Querying Your Database
16
Section 4: Protecting Your Database

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...