A database management system (DBMS) performs several important functions. One such function

is data dictionary management.
Describe this function and explain why this function is important.

1 answer

A data dictionary is a database that contains metadata or information about data stored in a database system. DBMS software plays an essential role in managing data dictionaries. In simple terms, data dictionary management refers to the process of creating, storing, updating and extracting metadata from data dictionaries.

A data dictionary contains information about every element of data stored in a database, such as data types, field names, descriptions and relationships to other elements. It also documents data access controls, data ownership, and data usage rules. The purpose of a data dictionary is to ensure that everyone who uses the database has a common understanding of the information stored therein.

Data dictionary management is important for several reasons:

1. Consistency and accuracy: A data dictionary keeps information about data in a format that is easy to understand and consistent. This, in turn, ensures that all applications and processes that access the data use it correctly, reducing data inconsistencies and errors.

2. Data security: The data dictionary also plays an important role in controlling data access and enforcing data security. It documents access rights and privileges associated with specific data elements and ensures that only authorized people can access the information.

3. Data maintenance: A data dictionary makes it easier to maintain and manage the database. It facilitates the addition, modification and deletion of data elements.

4. Avoids redundancy: Data dictionary management helps to avoid redundant data. It provides a central location where all applications using the database can reference the same pieces of information, reducing the risk of inconsistencies, errors, and duplication.

In conclusion, data dictionary management is important in ensuring consistency, accuracy, security and maintenance of the database. It enhances data quality, reduces data redundancy, and improves system performance.