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Data Definition Language (DDL)

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May 1, 2024 Updated June 30, 2025 12 minute read

Data Definition Language (DDL) is a specialized programming language used to define and modify the structure of databases. It is a powerful tool that allows database administrators and developers to create, modify, and manage database schemas, tables, indexes, and other database objects.

Skills and Techniques of Data Definition Language (DDL)

DDL allows database professionals to define the structure, constraints, and relationships of data within a database. It provides a set of commands that can be used to create, alter, and drop database objects. DDL commands are essential for setting up the logical and physical structure of a database, defining data types, specifying constraints, and establishing relationships between tables.

Some common DDL commands include:

  • CREATE TABLE - Creates a new table with specified columns and data types.
  • ALTER TABLE - Modifies an existing table by adding, removing, or modifying columns.
  • DROP TABLE - Deletes an existing table.
  • CREATE INDEX - Creates an index on a table column to improve query performance.
  • DROP INDEX - Deletes an existing index.

Why Learn Data Definition Language (DDL)?

There are several reasons why you may want to learn Data Definition Language (DDL):

Path to Data Definition Language (DDL)

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Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Definition Language (DDL).
Provides a comprehensive overview of database modeling and design, covering both logical and physical perspectives. It also discusses performance optimization techniques.
Provides a comprehensive overview of advanced SQL techniques, including how to use DDL to create and manage complex database structures.
This manual provides a comprehensive reference for IBM Db2 for z/OS, including a discussion of DDL.
This manual provides a comprehensive reference for MySQL, including a discussion of DDL.
Beginner-friendly guide to SQL, which widely-used language for data definition and manipulation.
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