Data Vault 2.0
The Data Vault 2.0 modelling technique has grown to a standard used in the development of a Data Hub. It is one of the foundations for our data integration projects and is therefore one of the keys to the success of these projects.
Data Vault 2.0
Data Vault 2.0 contains three areas (modeling, methodology and architecture) and is built on three main components:
HUB : natural business key
LINK : natural business relationship
SATELLITE : all context, descriptive data and history
Our general approach for any Data Warehouse projects follows a reference architecture that is based on this Data Vault 2.0 model. When building a Raw Vault of all available data sources in an organisation, hard rules are applied to form a big web between the different tables from different source systems. By defining Hubs, Links and Satellites, this web is built, and connections are made without losing any information from the source and so providing all facts. It gives the advantage of always providing all realtime data and history preceding the real time information. The traceability of the data makes the model auditable. Every change is visible in satellite tables with exact time stamps.
The Business Data Vault is where needs and wishes of a business are applied, and all abundance of information is filtered out. The separation of these two layers makes them resilient to change in the future because all facts are still present in the Raw Data Vault and by merely changing the soft rules, a whole new truth can be formed without going through the process of extracting new data from the source.
Data Vault 2.0 was developed specifically to address agility, flexibility, and scalability issues found in the other mainstream data modeling approaches used in the data warehousing space and allows you to automate the data modeling proces and ELT pipelines.
We are specialized in Data Warehouse Automation and therefore we have a solid partnership with Vaultspeed.