dbt Labs Brings Data Governance to the AI Development Workflow at Google Cloud Next

For data teams heading to Google Cloud Next, the challenge is clear: how to build reliable AI on a foundation of trustworthy data. dbt Labs is arriving in Las Vegas with a direct answer, showcasing how its platform integrates with Google's BigQuery, AlloyDB, and BigLake to bring order to the analytics process.

The company's approach moves beyond basic SQL transformations. dbt layers in systematic documentation, version control, and automated testing to create auditable, reliable data pipelines. This structured foundation is becoming essential as businesses incorporate AI. dbt's Semantic Layer establishes consistent metric definitions across an organization, ensuring that dashboards, reports, and now AI models all reference the same numbers.

A key demonstration at Booth #6606 will focus on practical AI development. dbt is integrating its tools directly into developer environments, like through a VS Code extension that connects to Google's Antigravity IDE. This allows teams to build and test AI features without switching contexts. Features such as the dbt Catalog provide visibility into what AI agents are constructing, while advanced CI processes let teams preview data changes before deployment.

The message is that AI's potential is constrained by the data it uses. dbt's platform aims to make that data dependable, turning ambitious AI projects into operational assets. The company will host live demos and expert meetings throughout the event. An afterparty co-hosted with Fivetran and 66degrees at the Eyecandy Lounge on April 22 offers a more informal setting for conversation.

Source: dbt Labs Blog