Enterprise Data Modeling Task
An Enterprise Data Modeling Task is a data modeling task that produces an enterprise data model (for an organization).
- See: Data Governance, Data Modeling, Entity Relationship Diagrams, XML Schema (W3C), Data Dictionary, Enterprise Application Integration.
References
2016
- (Wikipedia, 2016) ⇒ http://wikipedia.org/wiki/Enterprise_Data_Modeling Retrieved:2016-4-21.
- Enterprise Data Modeling (EDM) is the practice of creating a graphical model of the data used by an enterprise or company. Typical outputs of this activity include and Enterprise Data Model consisting of Entity Relationship Diagrams (ERD), XML Schemas (XSD), and an enterprise wide data dictionary. Producing such a model allows for a business to get a 'helicopter' view of their enterprise. In EAI (Enterprise Application Integration) an EDM allows data to be represented in a single idiom, enabling the use of a common syntax for the XML of services or operations and the physical data model for database schema creation. Data Modeling Tools for ERDs that also allow the user to create a data dictionary are usually used to aid in the development of an EDM.
The implementation of an EDM is closely related to the issues of data governance and data stewardship within an organization.
- Enterprise Data Modeling (EDM) is the practice of creating a graphical model of the data used by an enterprise or company. Typical outputs of this activity include and Enterprise Data Model consisting of Entity Relationship Diagrams (ERD), XML Schemas (XSD), and an enterprise wide data dictionary. Producing such a model allows for a business to get a 'helicopter' view of their enterprise. In EAI (Enterprise Application Integration) an EDM allows data to be represented in a single idiom, enabling the use of a common syntax for the XML of services or operations and the physical data model for database schema creation. Data Modeling Tools for ERDs that also allow the user to create a data dictionary are usually used to aid in the development of an EDM.
2006
- http://tdan.com/the-role-and-roi-of-enterprise-schema-management/5131
- QUOTE: Most organizations are looking for better ways to share information, cut costs, increase responsiveness, improve data quality and reduce risk. With increasing demand to link disparate data systems
and categorize items uniformly, 21st century analysts and developers need an enterprise-wide map of what information is available, who is responsible for it and the detailed structure of the data
definitions.
Metadata is a part of the solution, along with a generalized, centralized system to define, manage and share structural and taxonomic schemas. A schema describes the logical organization of any information resource, including the structure and definition of data and metadata. Typical examples include:
- structured fields and tables in a database
- metadata fields and vocabularies used to tag unstructured content
- A schema also defines the legal values, terminology and rules that constrain information in order to improve consistency and data integrity.