A data dictionary is a centralized repository of metadata that provides a comprehensive description of the data used in a database, information system, or project. It serves as a reference for understanding the meaning, structure, relationships, and properties of the data elements within a database or dataset. The main purpose of a data dictionary is to ensure consistency, accuracy, and clarity in data management and interpretation.
References
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https://library.ucmerced.edu/data-dictionaries🔗library.ucmerced.edu
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Not sure where to start with data dictionaries? Here's everything you need to know about data dictionary components, benefits, and how your team can create one.🔗Splunk-Blogs
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Learn what a data dictionary is, how it works, the difference between active and passive dictionaries, and how companies can benefit from this type of tool.🔗App Architecture
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What is Data Dictionary - A data dictionary contains metadata i.e., data about the database. The data dictionary is very important as it contains information such as what is in the database, who is allowed to access it, where is the database physically stored etc. The users of the database normally don't interact with the da🔗tutorialspoint.com