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.

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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

We can remove an index by using the drop index command, as in the following example:

```
drop index customers_identity_idx on customers;
```

## Parts of `drop index` query
As always, let’s look at its constituent parts.


We can remove an index by using the drop index command, as in the following example:

```
drop index customers_identity_idx on customers;
```

# Parts of `drop index` query
As always, let’s look at its constituent parts.


Getting Started

Manage MySQL Server

Basic SQL Commands

Add Columns and Indexes

Count and Sort Records

Foreign Keys

Joins, Left Joins And Subqueries

Conclusion

Remove an Index

Parts of `drop index` query