As we move more and more towards the need for everyone to do Agile Data Warehousing, we need a data modeling method that can be agile with us. Data Vault Data Modeling is an agile data modeling technique for designing highly flexible, scalable, and adaptable data structures for enterprise data warehouse repositories in an incremental fashion. It is a hybrid approach using the best of 3NF and dimensional modeling. It is not a replacement for star schema data marts (and should not be used as such). This approach has been used in projects around the world (Europe, Australia, USA) for over 10 years but is still not widely known or understood. The purpose of this presentation is to provide attendees with a detailed introduction to the components of the Data Vault Data Model, what they are for and how to build them. Included will be a discussion of changes introduced with Data Vault 2.0 that help in connecting to Big Data systems.
In object-oriented languages like Ruby, people often say that “everything is an object”—but first-class functions have become standard for object-oriented languages too. C# has had them and other related features for years, and even Java is in the ga…
