Build a Reliable and Governed Data Ecosystem with Data Vault and dbt
In an era where data volumes are expected to hit 180 zettabytes by 2025, legacy architectures are no longer just outdated—they are actively holding enterprises back. Brittle pipelines and siloed systems make it nearly impossible to scale, govern, or trust your data.
Architecting the Future of Enterprise Data provides a strategic blueprint for moving beyond a simple “lift-and-shift” to the cloud. By combining the agile, auditable modeling of Data Vault 2.0 with the software-driven power of dbt, organizations can finally build a data ecosystem that is truly AI-ready.
This whitepaper, co-authored by experts at Scalefree and dbt Labs, explores how to “industrialize” your data warehouse pipeline by replacing manual, error-prone processes with an automated assembly line.
What’s inside this whitepaper:
- Solve Legacy Bottlenecks: Understand why traditional star schemas struggle with modern scale and how to overcome manual, error-prone integration.
- The Power of dbt: Learn how to apply software engineering best practices—like CI/CD, version control, and automated testing—to your analytics.
- Data Vault Excellence: Explore the core constructs of Hubs, Links, and Satellites to ensure complete historization and auditability.
- Automation with DataVault4dbt: See how to use open-source macros to automate repetitive modeling tasks and enforce standardization.
- Real-World Success: Discover how SpareBank 1 Sør-Norge migrated to a Cloud-Based Data Fabric, eliminating technical debt and increasing development speed
