Title: SuperNova for Simplifying Data Vault

Abstract: Modelling and developing data warehouses using Data Vault leads to highly flexible and integrated data structures and helps to ensure compliance. New data elements and relationships can easily be added without affecting the existing data structures and relationships. All data derived directly from the Data Vault and used in data marts, star schemes and even semantic layers and reports, can be reconstructed any time for compliance purposes.

Unfortunately, there is a problem. Since the Data Vault data structures are not intended for reporting and analysis, organizations are forced to develop many data stores, such as data marts and cubes. This is to ensure that the data is assigned a data structure that can be accessed more easily and quickly. However, all these derived data stores lead to a maintenance nightmare. This session discusses a design approach called SuperNova that makes data stored in Data Vaults easier to access and change without the need to create derived data stores. This reduces operating costs and improves flexibility. The SuperNova approach relies heavily on data virtualization technology.

Related Blog:

 Data Virtualization and Data Vault: Double Agility, March 2015

Related Whitepaper:

 Data Vault and Data Virtualization: Double Agility; March 2015