From Lakehouse to agents: scaling analytics with dbt and Google Cloud

As the boundaries between data engineering, analytics, and generative AI blur, combining a robust data foundation with cutting-edge AI capabilities is essential for modern data teams. Join us to discover how dbt and Google Cloud are building the intelligence layer for the AI-driven enterprise. 

See how Gemini Enterprise leverages dbt’s hosted Model Context Protocol (MCP) to enable real-time natural language interaction with your metadata, models, and lineage. From scaling Python workflows with BigQuery DataFrames to unifying data management across the Google Cloud Lakehouse, this session is packed! Plus, get a forward-looking preview of autonomous analytics using Google’s Antigravity framework and next-generation Gemini Enterprise agents for dbt.