From analytics engineer to context engineer
First in a series on the shift from modeling data for dashboards to modeling context for agents. We start with our own Gong data.
Read the full story on dbt Labs BlogHave you worked with this?
The story is what was announced. Nobody has discussed it yet, so if it touches your team, a short post about what you’ve seen helps the next reader.
More from dbt Labs
Recent updates from dbt Labs, so you can tell whether this is a one-off or part of a pattern.
Context engineering is already possible in your warehouse. Here's how to get started.
Analytics teams have always modeled data for BI. Context engineering models data for agents, starting with semantic search.
Fivetran + dbt Labs Announces New Capabilities to Make Enterprise Data Agent-Ready at dbt Summit 2026
dbt v2, dbt State are GA and Fivetran + dbt Labs debuts Fivetran Context Layer, dbt Charts and a new open lakehouse vision
Everything we announced at dbt Summit and why it matters
Every product announced at dbt Summit, from dbt v2 and dbt State to dbt Wizard and dbt Charts, and why each one matters.
More in Data & Analytics
What other companies in Data & Analytics are doing. The category page shows who’s active, side by side.
GPT-6 Sol and Luna on Snowflake Cortex AI
GPT-6 Sol and Luna are now in public preview through Cortex AI Functions and Cortex Inference, and coming soon to Snowflake CoCo, Snowflake CoWork, and Cortex Agents.
Scaling Mission AI: 3 Lessons for Public Sector
Moving from AI pilot to production in government requires more than technology. Discover three lessons on scaling mission AI with agents, governance and usability.
How to roll out Genie One: A step-by-step enterprise playbook
A regional sales director wants to know why the Northeast pipeline looks soft this quarter...
Understanding On-Premises Data Lake Architecture
Why do leading enterprises continue to invest heavily in on-premises infrastructure when cloud object storage …