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A data dictionary includes technical metadata such as data object names and definitions, properties, business rules for validation, reference data, missing data, and more. The article looks into the components of a data dictionary, its benefits, setup process, and best practices.
A data dictionary is an organized list of the structure and attributes of the data stored in a database. The data dictionary provides additional information about the data elements and their relationships within the database, which helps with understanding and managing it.
Data dictionary example. As shown above, here is an example of a data dictionary. Don’t forget — the columns in a database become the 1st row in a data dictionary! Importance of a data dictionary. Data dictionaries are very important for teams that need to share huge amounts of data on a regular basis.
Gain a comprehensive understanding of what a data dictionary is and how it functions; Explore real-life examples of data dictionaries to see their diverse formats and platforms; Discover the benefits of using a data dictionary, from data consistency to self-serve capabilities
A data dictionary is a living document which lists and defines key terminology used to describe elements of the business. The goal is to get as many people in the organization to be using the same language and to clearly understand how each term is defined.
What is an example of a data dictionary? An example of a data dictionary is NASA’s Planetary Data System (PDS), which contains technical information, metadata, and data type information on various planetary data.
Use this guide and free template on how to successfully create a data dictionary. Compare 5 data dictionary tools and choose the best one for your business!