Replay: Fivetran + dbt Labs: The future of dbt Core v2.0, what we're building together

Taylor Brown

Tristan Handy

Why Fivetran and dbt Labs joined forces and what the combined company is building for open data infrastructure.
What changed in dbt Core v2.0, what did not change, and why the Apache 2.0 license matters for the dbt community.
What shipped on June 1, including dbt State, dbt Wizard, AI Connector Builder, Agent Schema, and dbt Charts.
How trusted data, governed context, and open standards support AI agents that can act with better context and less guesswork.
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Fivetran and dbt Labs are now one company, bringing together reliable data movement, tested transformation, governed context, and open standards for the agentic era.
In this webinar replay, Tristan Handy, Co-founder and President, Fivetran + dbt Labs, and Taylor Brown, Co-founder and COO, Fivetran + dbt Labs, walk through what the merger means for customers, practitioners, and technical leaders. They cover why the companies joined forces, what changed with dbt Core v2.0, what remains open, what shipped on June 1, and how the combined roadmap supports teams building data and AI systems they can trust.
Watch the replay to understand what is available now, what is coming next, and how Fivetran + dbt Labs are building the foundation for faster development, clearer context, and more reliable AI-ready data infrastructure.
Who should watch
Data engineers and analytics engineers
Get the technical context behind dbt Core v2.0, plus a first look at new capabilities built for practitioners, including dbt State and dbt Wizard.
Technical leaders and data platform owners
Understand the strategic rationale for the merger, the open data infrastructure vision, and what the combined roadmap means for your team’s data stack.
AI/ML practitioners and platform engineers
See why reliable movement, tested transformation, lineage, metrics, governance, and structured context matter for building agents your organization can trust.
Why Fivetran and dbt Labs joined forces and what the combined company is building for open data infrastructure.
What changed in dbt Core v2.0, what did not change, and why the Apache 2.0 license matters for the dbt community.
What shipped on June 1, including dbt State, dbt Wizard, AI Connector Builder, Agent Schema, and dbt Charts.
How trusted data, governed context, and open standards support AI agents that can act with better context and less guesswork.
What technical teams should evaluate next as they plan around dbt, Fivetran, Fusion, and agentic AI workflows.

Taylor Brown

Tristan Handy

Taylor Brown

Tristan Handy

Fivetran and dbt Labs are now one company, bringing together reliable data movement, tested transformation, governed context, and open standards for the agentic era.
In this webinar replay, Tristan Handy, Co-founder and President, Fivetran + dbt Labs, and Taylor Brown, Co-founder and COO, Fivetran + dbt Labs, walk through what the merger means for customers, practitioners, and technical leaders. They cover why the companies joined forces, what changed with dbt Core v2.0, what remains open, what shipped on June 1, and how the combined roadmap supports teams building data and AI systems they can trust.
Watch the replay to understand what is available now, what is coming next, and how Fivetran + dbt Labs are building the foundation for faster development, clearer context, and more reliable AI-ready data infrastructure.
Who should watch
Data engineers and analytics engineers
Get the technical context behind dbt Core v2.0, plus a first look at new capabilities built for practitioners, including dbt State and dbt Wizard.
Technical leaders and data platform owners
Understand the strategic rationale for the merger, the open data infrastructure vision, and what the combined roadmap means for your team’s data stack.
AI/ML practitioners and platform engineers
See why reliable movement, tested transformation, lineage, metrics, governance, and structured context matter for building agents your organization can trust.

