Summary
Databricks now offers a single control plane for your data, providing robust enterprise data infrastructure to power your GenAI projects. This new approach to enterprise data infrastructure is essential for successful GenAI initiatives.
Summary generated by brickster.ai. For the full article, follow the source link above.
More from dbt Labs Blog
Start fresh, don't lift and shift: a dbt migration guide
Databricks now has a dbt migration guide that argues against lifting and shifting legacy patterns. Learn how to start fresh with dbt instead of rebuilding old habits.
The analytics engineer in 2026: system designer, governance owner, AI context provider
The analytics engineer role is evolving to encompass system design, governance, and AI context provision. Learn how these responsibilities will define the role by 2026.
How dbt makes agentic data pipelines trustworthy: the transformation layer's role in autonomous data systems
Databricks practitioners can now leverage dbt as the transformation layer to ensure trustworthiness in agentic data pipelines. This post argues that dbt defines correctness within autonomous data systems, enabling AI agents to run pipelines reliably.
Context engineering is the new analytics engineering skill: a practical guide for dbt users
Context engineering is now a core analytics engineering skill, and this guide shows dbt users how their projects can become context for AI. Learn how to leverage your existing dbt work to enhance AI applications.