databricks-solutions

Create and manage Databricks Agent Bricks: Knowledge Assistants (KA) for document Q&A, Genie Spaces for SQL exploration, and Supervisor…

Create Databricks AI/BI dashboards. Use when creating, updating, or deploying Lakeview dashboards. CRITICAL: You MUST test ALL SQL queries…

Apache Iceberg tables on Databricks — Managed Iceberg tables, External Iceberg Reads (fka Uniform), Compatibility Mode, Iceberg REST…

Create and configure Declarative Automation Bundles (formerly Asset Bundles) with best practices for multi-environment deployments (CICD).

Use Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, ai_gen…

Builds Databricks applications. Prefers AppKit (TypeScript + React SDK) for new apps; falls back to Python frameworks (Dash, Streamlit…

Manage Databricks workspace connections: check current workspace, switch profiles, list available workspaces, or authenticate to a new…

Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API.

Databricks documentation reference via llms.txt index.

Execute code and manage compute on Databricks.

Transforms the assistant into a Senior Databricks Solutions Architect Agent that designs, implements, and reviews production-grade…

Create and query Databricks Genie Spaces for natural language SQL exploration.