Quick answer:Pressed for time? We’ve got you covered with a 2-minute summary of the highlights of this article: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. We also explore the differences between a data dictionary, a business glossary, and a data catalog.Looking for a way to build a modern data dictionary? Make sure to check out Atlan — a modern data catalog that hosts beyond a standard data dictionary. Book a demo or take a guided product tour.What is a data dictionary? A data dictionary can be defined as a collection of metadata such as object name, data type, size, classification, and relationships with other data assets. A data dictionary acts as a reference guide on a dataset.80% of a data scientist’s valuable time is spent simply finding, cleaning,...
