|
| Home | About Us | Customers | Wizards | About the Data Vault | Forums | Public Sector | White Papers | Dynamic Origins | Success Stories | DV Issues |
| Data Vault Modeling and Methodology |
|
The Data Vault Model is an enterprise data warehousing modeling technique. The Data Vault Model is a flexible, scalable, and consistent "common foundational warehouse model architecture." The modeling technique is covered by an implementation methodology. The Data Vault methodology is a set of data warehousing implementation components, consisting of project plans, design constructs, ETL loading templates, risk analysis, and repeatable, consistent build out strategies. The project / implementation methodology has it's basis in SEI/CMMI Software engineering Level 5 components. The implementation methodology is taught in our certification classes. Read more... “The Data Vault is the optimal choice for modeling the EDW in the DW 2.0 framework.”, Bill Inmon, June 2007 See more quotes... The Data Vault data modeling architecture brings with it new advancements to the data modeling world. It stands on the shoulders of well-established giants (3rd normal form and Star Schema). It utilizes a hybrid approach, best of breed modeling concepts to accommodate real-time data, very large historical data, business metadata, and current images of data across the enterprise. Log in to the Data Vault Forums (FREE) to ask questions, view standards, and talk to customers. Check out our World-Class Data Vault Certification Training, or maybe take a peek at our Data Vault generation tools. The patent-pending status has been DROPPED, the patent has been denied as of January 2005. The Data Vault architecture is FREE and PUBLIC DOMAIN.
If you're interested in the business aspects of architectural decisions, you may be interested in:
|
| What Is Data Vault? | |
|
|
 |
|
|
