The Analytics Engineering Podcast Let's Talk About Data Vault (w/ Brandon Taylor and Michael Olschimke)
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Nov 17, 2023 
Brandon Taylor and Michael Olschimke discuss the Data Vault approach, its adoption in Europe, alignment with data mesh architecture, and the ongoing debate over Data Vault vs. Kimball methods. They also explore the impact of DataMesh on data warehouse design, recommended data modeling approaches, and hopes for the data industry.
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Data Vault Modular Architecture
- Data Vault breaks enterprise data into business keys, relationships, and descriptive data captured in hubs, links, and satellites respectively.
- This modular approach allows quick data ingestion and flexible assembly into various business views or reports.
Shared Understanding Ensures Consistency
- A shared understanding of business rules and single definitions ensures consistent metrics across teams.
- Data Vault's Lego block analogy illustrates assembling data into consistent, repeatable views for all users.
Build Shared Business Understanding
- Build a shared business understanding so everyone uses the same definitions and metrics.
- Single source models enable analysts to onboard quickly and produce consistent results.