|#All about Data Vault Business Intelligence system:|
- DV2 Modeling (changes to the model for performance and scalability)
- DV2 Methodology (following Scrum and agile best practices)
- DV2 Architecture (including NoSQL systems and Big Data systems)
- DV2 Implementation (pattern-based, automation, generation Capability Maturity Model Integration [CMMI] level 5)
Each of these components plays a key role in the overall success of an enterprise data warehousing project. These components are combined with industry-known and time-tested best practices ranging from CMMI to Six Sigma, TQM (total quality management) to Project Management Professional (PMP).
Data Vault 1.0 is highly focused on just the data modeling section, while DV2 encompasses the effort of business intelligence. The evolution of Data Vault extends beyond the data model and enables teams to execute in parallel while leveraging Scrum agile best practices.
DV2 architecture is designed to include NoSQL (think: Big Data, unstructured, multistructured, and structured data sets). Seamless integration points in the model and well-defined standards for implementation offer guidance to the project teams.