static_analysis: off being interpreted as boolean false instead of string "off" in manifest.json (#12015)dbt Developer Agent is now available in Preview—grounded in your dbt project so you ship faster without breaking downstream.
See how Obie used the dbt Fusion engine and state-aware orchestration to cut costs, speed up pipelines, and scale with confidence.
The cost of skipping dbt on Databricks compounds quietly. A solution architect explains what to watch for and when to act.
dbt Labs recognized for empowering thousands of Google BigQuery users to deliver trusted analytics and AI at scale
Learn how dbt's semantic foundation enables reliable, governed agentic analytics.
Google's agentic IDE is here, and paired with dbt, it might just give you your weekends back. Here's what you need to know.
What happens when you plug AI into a dbt project and let it do things? A practical guide to building your first dbt agent.
Two MCPs, one config file. Learn how pairing dbt and Tableau unlocks impact analysis, metric reconciliation, and more.
AI is accelerating data workflows, but governance and trust aren't keeping pace, according to a new dbt Labs report.
See how dbt + BigQuery powers trusted, AI-ready analytics. Visit Booth #6606 at Google Cloud Next, April 22–24 in Las Vegas.
A former head of analytics on the 6 mistakes he made with dbt—and what he'd do differently now.
DBT_ENGINE prefixed env vars picked up by CLI (#12583)Learn how to operationalize your analytics agents by building context for LLM models with dbt and MCP servers.
What happens to data work when AI changes everything? The hosts of The View on Data podcast share what's shifting and what isn't.
Learn how to connect dbt, when to migrate, and what the tradeoffs are for your data team.
Building the future of analytics engineering, together.
Explore key data transformation types for ML, including cleaning, scaling, feature engineering, and validation.
Explore common data pipeline architecture patterns—from ETL and ELT to batch, streaming, and semantic layers.
Learn how a semantic layer gives AI systems the consistent, governed foundation they need.