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A simple data dictionary is a repository of information about the database, usually in a database itself, that stores object information and attributes, versioned over time. A data dictionary can contain the following information about a particular object: Datetime the current object was created or changed. Object name.

A data dictionary provides information about the fields in a data table and their key attributes, such as field name, data type, length, etc. Luckily, Base SAS has a procedure already in place that can provide these basic elements for you ? PROC CONTENTS. PROC CONTENTS ? The Variable List.

Dictionary tables and their contents permit a SAS session's activities to be easily accessed and monitored. This becomes useful when building software applications since the information can be queried with the results acted upon in a specific task such as in the allocation of filerefs or librefs.

The TABLES dictionary table provides detailed information about the library name, member name and type, date created and last modified, number of observations, observation length, number of variables, password protection, compression, encryption, number of pages, reuse space, buffer size, number of deleted observations ...

Dictionary tables are created and automatically maintained by SAS system at run time to store information related to SAS data libraries, SAS system options, SAS catalogs, and external files associated with the currently running SAS session. This information is stored as special read-only PROC SQL objects.

Possible types include int, double, float, char, decimal, and date. The format of data output from the database is by default identical to the format in which they are stored in the database. This field allows the format to be explicitly specified (uses C language data formatting standard).

Data dictionary is a table with data elements (columns) as rows and their attributes as columns. Specific attributes vary depending on the purpose of the data dictionary.

A data dictionary is a collection of metadata such as object name, data type, size, classification, and relationships with other data assets. Think of it as a list along with a description of tables, fields, and columns. The primary goal of a data dictionary is to help data teams understand data assets.