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Agilely Model Your Business  

Data Vault and other ensemble modeling patterns (EMPs) are data modeling approaches optimized for enterprise data integration, data historization, big data, streaming, and all situations requiring highly flexible data structures. The guidance and templates presented here are consistent with the guidance from the Data Vault Ensemble Enthusiasts Consortium (DVEE).



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Here, we explain how to uncover better ways to map the information and data in the ensemble logical model (ELM) by utilizing workshops, interviews, and the ELM artifacts.



To ensure best practices are consistently used, we provide site members access to templates consistent with the modeling guidance created by the DVEE.



As with all things technical, ensemble logical modeling comes with its own diction. Here, you can find resources about some of the vocabulary associated with ELM.

Can Business Mapping and Ensemble Logical Models be Used with Data Vault?

The key features of ensemble modeling methods:

  • Business focus- The model aligns with business concepts making it easy to read and communicate. 

  • Agility- The model is able to adapts quickly to new or changing data feeds or business rules.

  • Completeness- The model realistically allows all data to be loaded, integrated, aligned and reconciled.

  • Auditability- The model allows for traceability from source to presentation.

  • Understandability- Using business terminology in the model makes the model 100 percent transparent for non-technical users.

These features make Data Vault a seamless fit with the Business Mapping & ELM approach. For more information on Data Vault modeling and Ensemble, visit

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