#Dictionaries of names how to

Data Integration - clear definitions of data elements provide the contextual understanding needed when deciding how to map one data system to another, or whether to subset, merge, stack, or transform data for a specific use.Systems Analysis - enable analysts to understand overall system design and data flow, and to find where data interact with various processes or components.Application Design - help application developers create forms and reports with proper data types and controls, and ensure that navigation is consistent with data relationships.Communication - equip users with a common vocabulary and definitions for shared data, data standards, data flow and exchange, and help developers gage impacts of schema changes.Documentation - provide data structure details for users, developers, and other stakeholders.Business rules, such as for validation of a schema or data quality.Missing data and quality-indicator codes.Reference data (classification and descriptive domains).Entity-relationship (ER) and other system-level diagrams.Detailed properties of data elements (data type, size, nullability, optionality, indexes).A listing of data objects (names and definitions).Data dictionary contents can vary but typically include some or all of the following: A useful introduction to data dictionaries is provided in this video. Data dictionaries store and communicate metadata about data in a database, a system, or data used by applications.

Dictionaries of names