How a global investment firm reduced runtimes by 30–40% with the dbt Fusion engine
Summary
The dbt Fusion engine and State-Aware Orchestration helped a global investment firm reduce runtimes by 30-40% in 3 months. Learn how NBIM achieved these gains without heavy optimization efforts.
Summary generated by brickster.ai. For the full article, follow the source link above.
More from dbt Labs Blog
AI-ready data in practice: What dbt Semantic Layer and dbt's MCP server and agent skills do for your team
dbt's Semantic Layer, MCP server, and agent skills now provide AI with essential business context. This enables your team to move beyond just clean data to truly AI-ready data in practice.
What's shipped in dbt — May 2026
May 2026 brings a roundup of dbt shipments since January, covering agents, Fusion, security, developer experience, dbt Core, and more. This post details all the product changes relevant to your Databricks workflows.
AI-assisted analytics engineering: Docusign’s framework for scaling dbt unit testing
Docusign reduced dbt unit test authoring from 5 hours to 30 minutes. Learn their AI-assisted framework for scaling dbt unit testing.
How NASDAQ built a governed intelligence layer with dbt and Databricks
NASDAQ built a governed intelligence layer using dbt and Databricks to process up to a trillion messages daily across 26 business lines. Learn why they chose this combination for their data architecture.