Gain insights into using SQL for relational databases. Learn about creating, editing, and managing tables with MySQL, creating indexes, complex queries, and joining tables for optimized data retrieval.

testmysql.tar.gz

sql spa

Relational databases store data in a row-based table structure. Structured Query Language (SQL) is a core language used to retrieve data from the relational database. One of its most widely used extensions, MySQL, also gives you the power to edit, create, and manage the queried data.

In this course, you’ll be introduced to the basics of relational database management with SQL. You’ll use MySQL to create a table, edit the data, and even change the structure. You’ll also create indexes to quickly access data for faster performance on common queries. Additionally, you’ll explore more complex queries to extract useful data with aggregate functions, grouping, ordering, and creating limits and filters in output tables. Finally, you’ll learn how to combine data from different tables with join functions.

By the end of this course, you’ll be able to create, manage, edit, and merge relational databases with confidence. MySQL will prepare you for data projects large and small.

Getting Started with SQL and Relational Databases

## Data insertion
Now that we have our `customers` table, we can insert data into it. The `insert into <table_name>` command is used to insert data in the table. Let’s do that with the `customers` table:


# Data insertion
Now that we have our `customers` table, we can insert data into it. The `insert into <table_name>` command is used to insert data in the table. Let’s do that with the `customers` table:


Learn how to insert data in the MySQL database.


Insert Data into a Table


Learn how to insert data in the MySQL database.

Getting Started

Manage MySQL Server

Basic SQL Commands

Add Columns and Indexes

Count and Sort Records

Foreign Keys

Joins, Left Joins And Subqueries

Conclusion

Insert Data into a Table

Data insertion