Your next level starts here: A preview of dbt Summit sessions, by role
Preview dbt Summit 2026 sessions by role: hands-on labs and breakouts for analytics engineers, data leaders, and execs.
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Preview dbt Summit 2026 sessions by role: hands-on labs and breakouts for analytics engineers, data leaders, and execs.
Apache Ossie is currently undergoing incubation at The Apache Software Foundation (ASF).
Budgets aren't growing, but the work is. See how dbt customers recouped 58.7 FTEs in capacity, worth $1.75M a year.
Integral Ad Science used MCP to connect AI agents to dbt and Databricks, turning hours of dashboard debugging into minutes.
AI coding took off. AI pipeline management didn't. Here's a practical playbook for closing that gap.
Data platforms store information. Intelligence platforms govern meaning so AI can reason on it reliably.
See what Fivetran + dbt Labs shared at Databricks Data + AI Summit: dbt Wizard, dbt State, and dbt Core v2.0, plus what's next.
Two teams. Same metric. Different numbers. That's semantic debt, and AI will make it impossible to ignore.
dbt migrations underdeliver when teams rebuild legacy patterns in a new tool. Here's how to start fresh instead.
AI is reshaping the analytics engineer role. Here's what system design, governance, and AI context look like in 2026.
AI agents can run your pipelines. But who decides what "correct" looks like? The transformation layer does, and that layer is dbt.
Analytics engineers are already doing context engineering. Here's how your dbt project becomes context for AI.
AI builds data infrastructure fast. Here's how to make your dbt project ready to support agents without it falling over.
72% of data teams use AI to write code. Only 24% invest in checking what it produces. Here's how to close that gap
AI proof of concepts work. Production doesn't. The gap between those two things lives in your data model, not your model.
Why your GenAI projects need a robust enterprise data infrastructure that acts as a single control plane for your data.
Trusted AI requires governed, consistent, and contextual data. Here’s how to build it without tying yourself down.
dbt Labs wins two Snowflake Partner honors: Data Integration Product Partner of the Year and Snowflake’s CoCo Adoption Award
Fivetran and dbt Labs are now one company, focused on building the data foundation for the agentic AI era.
Fivetran and dbt Labs are officially one company to deliver data infrastructure for agents you trust.
dbt State, dbt Wizard, dbt Core v2.0, and the Fivetran merger
Discover the data infrastructure architecture AI agents need to eliminate hallucinations, handle sub-second freshness, and query
A practical look at how Brooklyn Data’s Fusion Readiness Assessment helps teams plan a migration with confidence.
Get dbt certified -- and stay that way. Here's why certification matters for your career and how to earn it.
Clean data is just the start. See how dbt's semantic layer, MCP, and agent skills give AI the business context it needs.
A roundup of everything we've shipped since January—across agents, Fusion, security, developer experience, dbt Core, and more.
How Docusign reduced dbt unit test authoring from 5 hours to 30 minutes using a structured AI-assisted framework.