![]() This type of data dictionary is typically used for reference purposes, such as in analytics projects where analysts need to understand the meaning of different data points and their relationships with each other. Passive data dictionaryĪ passive data dictionary is usually a static document that's manually updated and not tied to any system or database. This form of data dictionary actively prevents any discrepancies or changes in data integrity. Usually managed by the IT department, this type of data dictionary is and provides up-to-date definitions for each piece of data in a database or system. Active data dictionaryĪn active data dictionary is a document that's updated whenever changes are made to the data in a database. In general, when working with data dictionaries, they can be split into two different types: active and passive. To put things simply, a data dictionary provides additional context and information about each data point so that analysts can understand the data better. Its main purpose is to provide a common language and understanding of: Read on for a detailed guide! What is a data dictionary?Ī data dictionary is a structured repository of metadata that provides a comprehensive description of the data used. In this article, we'll cover everything about data dictionaries - from beginning to end - so that you'll have a good foundation of what a data dictionary is for. ![]() Not only do you need to understand the definition of a data dictionary - you also have to know its components, benefits and how to create one. Data dictionaries are an invaluable tool for any data-driven organization, but they can often seem like a complex and daunting task to build.
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