Where the Databricks world meets.

DABs: UI to DABS sync

Building Governed Agents with Databricks

Databricks extends its Unity Catalog governance layer to AI agents, MCP servers, and tools to solve "agent sprawl" by providing centralized discovery, access controls, and audit logging. The system allows developers to quickly build agents while IT teams enforce fine-grained policies, manage credentials, and track end-to-end request and response lineage.

From Primitives to Production: How Anthropic Builds Agents

Anthropic defines agents as LLMs in loops with tool access, leaning on model intelligence over rigid workflows, and uses domain-specific skills, MCPs, and evals to build effective agents across sectors. A demo showed a site reliability agent autonomously identifying a database pool issue, fixing the code, and generating a postmortem.

DABs: watch flag

DABs: Let policies rule your cluster

Ep 3: All about Lakehouse//RT and LTAP | Peter Sach

Databricks has announced Lakehouse RT, a real-time data warehouse engine powered by the new Raiden engine that delivers millisecond-level query performance directly on existing lakehouse tables without data replication. The company also introduced Lake Transactional and Analytical Processing (LTAP), which integrates the Postgres-based Lakehouse with Unity Catalog to enable seamless operational and analytical workloads on a single copy of data.

DABs: Terraform output to DABs

Five Hours of DAIS 2026 Announcements in 30 Minutes!

The video summarizes key announcements from the Databricks Data and AI Summit, focusing on new "Genie" branded AI tools for business users and developers, and significant engineering updates like the rewritten Spark engine "Raiden" and self-healing pipelines "Zero-Ops." It also introduces new Databricks SaaS applications like Lakehouse for cybersecurity and Customer Lake for CDP.

DABs: reference resources