How Nasdaq productized a governed intelligence layer with dbt + Databricks for financial market infrastructure

🌐 Global friendly sessions April 22 & 23

Mid‑to‑small Financial Market Infrastructures (FMIs) often have plenty of data—but not the resources to make it usable, consistent, and trustworthy without years of engineering investment. Nasdaq’s Intelligence offering changes that by delivering a blueprint as a service: a governed foundation that can be deployed repeatedly across markets and customer environments.

In this panel, Nasdaq, dbt, and Databricks discuss how they built and scaled this approach across trading, post‑trade, and CSD workflows, while keeping definitions and contracts consistent as upstream systems evolve.

We’ll share how Databricks provides the compute and infrastructure governance layer, and how dbt operationalizes standardized, auditable models through contracts, lineage, and reusable project patterns (dbt Mesh).

Finally, we’ll explore why a governed semantic layer is the bridge to AI in financial services—enabling safe, defensible analytics and agentic experiences without risking “confident but wrong” outputs.

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