From raw data to trusted AI: What dbt Is bringing to Google Cloud Next

Summary

dbt and BigQuery together deliver a powerful combination that accelerates trusted, AI-ready analytics pipelines.

dbt and BigQuery powering trusted AI analytics

At Google Cloud Next (April 22-24, Las Vegas), dbt showcases how its integration with BigQuery helps organizations move from raw data to reliable AI models. The partnership focuses on creating a trusted data layer supporting both traditional analytics and AI workloads.

Why data trust matters for AI adoption

Without reliable data transformations, AI models are built on shaky foundations. dbt provides version control, testing, and documentation for transformations, while BigQuery delivers scalability. Together they bridge the gap between raw data and production-grade AI.

Key takeaway for BI professionals

Organizations pursuing AI initiatives must first solidify their data transformation layer. Evaluate whether dbt combined with your current data warehouse provides a path to validated, reproducible datasets that can reliably feed AI models.