Architecting the Future of Enterprise Data

PROVEN SUCCESS: SPAREBANK 1 SØR-NORGE CASE STUDY This section illustrates the real-world impact of architecting a cloud-based Data Fabric, exemplified by SpareBank 1 Sør-Norge’s journey. Facing limitations with an on-premise infrastructure, the bank transitioned to a scalable, automated cloud platform. This shift leveraged Data Vault principles, the power of dbt, and Scalefree’s expert consulting to modernize their data management capabilities.

Migration to a Cloud-Based Data Fabric Prior to 2023, SpareBank 1 Sør-Norge faced significant challenges with a legacy on-premise BI solution (SQL Server). The infrastructure suffered from a lack of automation, code generation, and scalability, resulting in fragmented data management practices. To gain a competitive advantage and improve data agility, the bank embarked on a transformative project to migrate to the Cloud, adopting dbt as the standard for transformation and Data Vault as the core methodology. The objective was clear: define a migration strategy that introduced a Medallion Architecture within a Data Fabric, refactor inefficiencies, and adopt a Data Mesh-like approach to facilitate organizational scalability. Scalefree was selected as the strategic partner to guide this complex transition, ensuring alignment with industry best practices.

Implementation Highlights SpareBank 1 Sør-Norge combined internal agile teams with Scalefree’s guidance to execute a “tracer bullet” migration, prioritizing Information Marts for iterative delivery. Using Scalefree’s DataVault4dbt package, the team automatically generated code to standardize the Silver layer within a Medallion Architecture anchored by Data Vault. This design allowed diverse teams to plug into the Data Fabric using governed standards, preventing bottlenecks. Additionally, a strategic transition to dbt streamlined DevOps, while Snowflake’s “zero-copy cloning” and dbt’s “defer” feature enabled dynamic, cost-effective development environments that only spin up when needed.

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ARCHITECTING THE FUTURE OF ENTERPRISE DATA

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