While the promise of Artificial Intelligence dominates executive agendas, many organizations struggle to move beyond experimental phases due to the complexity of their underlying data. Today, Scalefree, leading experts in Data Vault 2.1, and dbt Labs, the pioneer in analytics engineering, announced the release of their joint whitepaper: "Architecting the Future of Enterprise Data: Build a Reliable and Governed Data Ecosystem with Data Vault and dbt".
The publication addresses the primary challenge facing modern enterprises: generating a measurable ROI on AI. Siloed systems and brittle architectures make it nearly impossible to provide the high-quality, governed data required for advanced machine learning and automated decision-making.
“Data Vault and dbt are natural allies. While Data Vault provides a framework to model your data in a pattern-based, scalable, and auditable way, dbt provides the engineering discipline to govern, test, and industrialize that process. Together, they replace manual, brittle pipelines with an automated assembly line, turning raw data into a trusted, AI-ready asset at the speed of modern software development.”
Hernan Revale - Senior Advisor & Head of Research at Scalefree
Industrializing the Data Ecosystem
The whitepaper provides a comprehensive strategic guide for data leaders to move beyond traditional modeling constraints. It explores the synergy between Data Vault 2.1—known for its resilience and auditability—and dbt (data build tool), which applies software engineering best practices like CI/CD and version control to the entire data lifecycle.
Key insights from the whitepaper include:
The Power of dbt: Applying version control and automated testing to ensure enterprise-grade data trust.
Data Vault Excellence: Utilizing Hubs, Links, and Satellites for complete historization and auditability.
Automation with DataVault4dbt: Leveraging open-source macros to eliminate repetitive modeling tasks and enforce standardization.
Real-World Success: A deep dive into how SpareBank 1 Sør-Norge successfully established a Cloud-Based Data Fabric, significantly increasing development speed while eliminating technical debt.
Availability
The whitepaper is available online starting today. It serves as essential reading for CDOs, Data Architects, and Data Engineers looking to build a future-proof foundation for the AI era.
Read the whitepaper here: https://scalefr.ee/gquia5
The publication addresses the primary challenge facing modern enterprises: generating a measurable ROI on AI. Siloed systems and brittle architectures make it nearly impossible to provide the high-quality, governed data required for advanced machine learning and automated decision-making.
“Data Vault and dbt are natural allies. While Data Vault provides a framework to model your data in a pattern-based, scalable, and auditable way, dbt provides the engineering discipline to govern, test, and industrialize that process. Together, they replace manual, brittle pipelines with an automated assembly line, turning raw data into a trusted, AI-ready asset at the speed of modern software development.”
Hernan Revale - Senior Advisor & Head of Research at Scalefree
Industrializing the Data Ecosystem
The whitepaper provides a comprehensive strategic guide for data leaders to move beyond traditional modeling constraints. It explores the synergy between Data Vault 2.1—known for its resilience and auditability—and dbt (data build tool), which applies software engineering best practices like CI/CD and version control to the entire data lifecycle.
Key insights from the whitepaper include:
The Power of dbt: Applying version control and automated testing to ensure enterprise-grade data trust.
Data Vault Excellence: Utilizing Hubs, Links, and Satellites for complete historization and auditability.
Automation with DataVault4dbt: Leveraging open-source macros to eliminate repetitive modeling tasks and enforce standardization.
Real-World Success: A deep dive into how SpareBank 1 Sør-Norge successfully established a Cloud-Based Data Fabric, significantly increasing development speed while eliminating technical debt.
Availability
The whitepaper is available online starting today. It serves as essential reading for CDOs, Data Architects, and Data Engineers looking to build a future-proof foundation for the AI era.
Read the whitepaper here: https://scalefr.ee/gquia5
