
David Hrncir
An architecture pattern that uses Fivetran's Managed Data Lake Service (Google Cloud Storage/Iceberg) as the bronze layer, BigQuery as the compute engine, dbt for transformations and semantic definitions, and Dataplex for governance — all working as a unified system
Understanding how the metadata Fivetran and dbt already produce — from lineage to test results — establishes the critical guardrails within Dataplex Universal Catalog, ensuring Vertex AI agents operate on a foundation of verified, high-integrity data
Confidence that investing in Fivetran and dbt isn't just about reliable pipelines — it's about building the foundation that makes governance, compliance, and conversational AI actually work
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As AI agents begin answering business questions, a new challenge emerges: can you trust — and verify — the answers they provide? That's where most teams hit a wall.
Enter Fivetran: The foundation for AI, automating the flow of complete, reliable data across the Google Cloud ecosystem to fuel scalable models, agents, and enterprise-wide intelligence.
This session demonstrates how to close the governance gap by connecting Fivetran’s pipeline metadata to Google Cloud services such as Dataplex and Vertex AI, enabling full lineage, transparency, and confidence in every AI-driven insight.
An architecture pattern that uses Fivetran's Managed Data Lake Service (Google Cloud Storage/Iceberg) as the bronze layer, BigQuery as the compute engine, dbt for transformations and semantic definitions, and Dataplex for governance — all working as a unified system
Understanding how the metadata Fivetran and dbt already produce — from lineage to test results — establishes the critical guardrails within Dataplex Universal Catalog, ensuring Vertex AI agents operate on a foundation of verified, high-integrity data
Confidence that investing in Fivetran and dbt isn't just about reliable pipelines — it's about building the foundation that makes governance, compliance, and conversational AI actually work

David Hrncir

David Hrncir
As AI agents begin answering business questions, a new challenge emerges: can you trust — and verify — the answers they provide? That's where most teams hit a wall.
Enter Fivetran: The foundation for AI, automating the flow of complete, reliable data across the Google Cloud ecosystem to fuel scalable models, agents, and enterprise-wide intelligence.
This session demonstrates how to close the governance gap by connecting Fivetran’s pipeline metadata to Google Cloud services such as Dataplex and Vertex AI, enabling full lineage, transparency, and confidence in every AI-driven insight.

