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da·ta dic·tion·ar·y

/ˈdadə,ˈdādə ˈdikSHəˌnerē/
noun
a set of information describing the contents, format, and structure of a database and the relationship between its elements, used to control access to and manipulation of the database.

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A Data Dictionary is a collection of names, definitions, and attributes about data elements that are being used or captured in a database, information system, ...
Data Dictionary. from en.wikipedia.org
A data dictionary, or metadata repository, as defined in the IBM Dictionary of Computing, is a "centralized repository of information about data such as meaning ...
A data dictionary is a structured repository of metadata that provides a comprehensive description of the data used.

Data dictionary

A data dictionary, or metadata repository, as defined in the IBM Dictionary of Computing, is a "centralized repository of information about data such as meaning, relationships to other data, origin, usage, and format". Oracle defines it as a... Wikipedia
Data Dictionary. from atlan.com
A data dictionary defines each data element in a dataset, specifying its type, allowed values, default values, and constraints. It includes metadata about ...
Nov 12, 2023 · A Data Dictionary can be defined as a collection of information on all data elements or contents of databases such as data types, and text ...
May 30, 2023 · A data dictionary is essentially a document or set of documents that outlines the data elements, their definitions, and the characteristics within a database ...
May 5, 2023 · The purpose of a data dictionary is to explain what all the variable names and values in your spreadsheet really mean.
A Data Dictionary, also called a Data Definition Matrix, provides detailed information about the business data, such as standard definitions of data ...
Feb 1, 2024 · What's in a Data Dictionary? Data dictionaries store and communicate metadata about data in a database, a system, or data used by applications.
Mar 13, 2024 · A data dictionary describes data in business terms. It includes elements like data types, structure details, and security restrictions.