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

Summary

In this chapter, we covered what data types are and how they are used. We learned about specific data types and what data can be stored in each. Data types include string, numeric, date and time, and other types such as JSON and spatial types. String data types include char and varchar, binary and varbinary, blob, enum, set, and text. Numeric data types include bit, int, float, double, and decimal. Date and time data types include date, time, datetime, timestamp, and year. We learned from the perspective of MySQL data types, but where there were differences versus Oracle, PostgreSQL, and SQL Server, those differences were noted.

We also went through some examples of types and values of data to see examples of how to assign them correctly to data types. This section included an explanation of why you need to be careful when selecting a data type and how it can impact database...