1. The Data Definition Language ( DDL ) part of SQL permits database tables to be created or deleted.

2. The analysis of data definition - use pairs can become very complex, even for relatively simple units.

3. So, using XML for data definition gives programmers more flexibility for data definition.

4. You can execute both data definition language (DDL) and data manipulation language (DML) statements, and obtain and display the results using this tool.

5. It provides Data Definition Language (DDL) , Data Manipulation Language (DML) , as well built-in functions, such as:Sum, Average, Count, Maximum and Minimum.

6. Differs from HTML forms by separating data definition and data display.

7. In our model, report data definition language (RDDL) and report format description language (RFDL) are used with interpreters to interpreter them.

8. SQL has two main components: a Data Definition Language (DDL) and a Data Manipulation Language (DML).

9. The Create Database Wizard generates data definition language for creating a database.

10. XPressed in data definition language, that completely describe the structure of a data base.

11. The simple data definition model is provided , for combining the communication mechanism with IDMEF data definition.

12. In our model, report data definition language and report format description language are used with interpreters to interpreter them.

13. Note that supplying connection information does not initiate data definition language ( DDL ) generation.

14. XForms uses XML for data definition and HTML or XHTML for data display.

15. Avoid interleaving data definition language (DDL) and data manipulation language (DML) in stored procedures, including the tempdb database DDL.

16. A common approach to defining data is through inheritance – taking an existing data definition and adding parameters.

17. IDS implicitly starts a transaction when you issue data manipulation language (DML) (UPDATE, DELETE, INSERT or SELECT) and data definition language (DDL) statements (CREATE statements).

18. The database must support at least one clearly defined language that includes functionality for data definition, data manipulation, data integrity, and database transaction control.

19. Data definition - use testing design test cases to test pairs of data definitions and uses.

20. You can also create database - level triggers that fire in response to Data Definition Language ( DDL ) statements.