A SQL data dictionary is a centralized repository of information about a database's schema. It documents tables, columns, data types, indexes, keys, views, stored procedures, and other database objects.
A SQL data dictionary is a centralized repository that documents the metadata of a database schema. It provides detailed information about the database objects like tables, columns, views, stored procedures, triggers, keys, indexes, data types etc.
The key purposes of a data dictionary are:
A data dictionary helps understand the relationships between tables and enables new team members to quickly come up to speed on the database contents and layout. It improves collaboration between DBAs, developers and business analysts. Most database systems have builtin data dictionary views and functions to query metadata.
Key information stored in a data dictionary includes table and column names, data types, constraints, indexes, keys, row counts, object ownership/permissions etc. Advanced data dictionaries also store business meanings, calculations, data sources etc. about data elements.
Maintaining an updated data dictionary is an important database administration task. It serves as an authoritative reference for the development team and ensures optimal utilization of the database.
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