Abstract
This section covers the Data Vault 2.0 Model in brief. From a conceptual level, the Data Vault model is a hub and spoke based model, designed to focus its integration patterns around business keys. The concepts are derived from business context (or business ontologies), which are elements that make sense to the business from a master data perspective, such as customer, product, service, and so on. A Data Vault model is a detail-oriented, historical tracking, and uniquely linked set of normalized tables that support one or more functional areas of business. In Data Vault 2.0, the model entities are keyed by hashes, where in Data Vault 1.0 the model entities are keyed by sequences.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Data Architecture: A Primer for the Data Scientist
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
