Speaker: Neil Buchwalter
Most organizations understand the critical nature of their data assets and the role they play in support of their business.
A solid data foundation is necessary to ensure business decisions are based on valid and verifiable events and that the decisions made will have a positive impact on the organization. Hence, the need for a data warehouse.
Unfortunately, data warehouses are limited by their inability to quickly evolve over time due to their somewhat rigid structure. That's where Data Vault 2.0 modeling comes in. The Data Vault process facilitates the creation of a flexible normalized data architecture that can easily evolve as required to maintain a valid and auditable representation of an organization's data assets over time. Additionally, the nature of the Data Vault objects consistent structures encourage the development and use of automation solutions to generate more of the data warehouse and using fewer resources in the process.