Book Image

Learn SQL Database Programming

By : Josephine Bush
5 (1)
Book Image

Learn SQL Database Programming

5 (1)
By: Josephine Bush

Overview of this book

SQL is a powerful querying language that's used to store, manipulate, and retrieve data, and it is one of the most popular languages used by developers to query and analyze data efficiently. If you're looking for a comprehensive introduction to SQL, Learn SQL Database Programming will help you to get up to speed with using SQL to streamline your work in no time. Starting with an overview of relational database management systems, this book will show you how to set up and use MySQL Workbench and design a database using practical examples. You'll also discover how to query and manipulate data with SQL programming using MySQL Workbench. As you advance, you’ll create a database, query single and multiple tables, and modify data using SQL querying. This SQL book covers advanced SQL techniques, including aggregate functions, flow control statements, error handling, and subqueries, and helps you process your data to present your findings. Finally, you’ll implement best practices for writing SQL and designing indexes and tables. By the end of this SQL programming book, you’ll have gained the confidence to use SQL queries to retrieve and manipulate data.
Table of Contents (24 chapters)
1
Section 1: Database Fundamentals
7
Section 2: Basic SQL Querying
11
Section 3: Advanced SQL Querying
16
Section 4: Presenting Your Findings
19
Section 5: SQL Best Practices

Best Practices for Designing and Querying

In this chapter, you will learn about database best practices, including database design, indexing, and querying and modifying data. You learned about these topics throughout the previous chapters. This chapter will summarize and give additional tips regarding the best practices. This chapter will also provide a way for the more experienced among you to quickly reference best practices instead of having to go through each chapter.

In this chapter, we will cover the following topics:

  • Best practices for database design
  • Best practices for indexing
  • Best practices for querying and modifying data