A structured guide for data engineers on building and maintaining a data dictionary. Covers key components to document (data element names, definitions, data types, permissible values, business rules, relationships), a step-by-step process for creating and organizing the dictionary, and best practices for ongoing maintenance including regular audits, ownership assignment, version control, and stakeholder feedback. Also highlights how automated metadata tools like Decube can reduce manual effort and keep dictionaries current.
Table of contents
IntroductionUnderstand the Purpose of a Data DictionaryIdentify Key Components to IncludeCreate and Organize Your Data DictionaryMaintain and Update Your Data DictionaryConclusionFrequently Asked QuestionsList of SourcesSort: