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)
Section 1: Database Fundamentals
Section 2: Basic SQL Querying
Section 3: Advanced SQL Querying
Section 4: Presenting Your Findings
Section 5: SQL Best Practices

Chapter 13

  1. By listing the distinct values in a table.
  2. By querying for NULL values in a table.
  3. By querying the table with a GROUP BY and a HAVING count(*) > 2.
  4. Acquaint yourself with the data and create a data dictionary.
  5. A document that helps you to understand what is in your database.
  6. First, you will need to install a Python plugin into your MySQL Workbench installation, then create an ERD. Next, you can use the Python plugin to create the data dictionary to paste into a text or markdown editor of your choice.
  7. They help search for string patterns in your data.
  8. Matches the beginning of a string.
  9. Matches any of the patterns specified.
  10. Yes. WHERE column REGEXP '^[abc].{3}on$'