Data Vault & ELM Workshop Introduction - Munich

Data Vault and other Ensemble Modeling patterns (EMP) are data modeling approaches optimized for enterprise data integration, data historization, big data, streaming, and all situations requiring highly flexible data structures.

Key features of Ensemble modeling methods include: business focus (aligns with business concepts for models that are easy to read and communicate), agility (adapts quickly to new or changing data feeds or business rules), completeness (realistically allows all data to be loaded, integrated, aligned and reconciled), and auditability (allows for traceability from source to presentation).

These features make Data Vault and Ensemble modeling approaches the best choice for enterprise data warehousing, enterprise data integration initiatives, and analytical platforms.

This training will introduce you to Data Vault and the way to get there - ELM.