Databricks Serverless
Serverless compute for Databricks jobs, Lakeflow pipelines and Declarative Automation Bundles (DA…
by databricks
The skill
Serverless compute for Databricks jobs, Lakeflow pipelines and Declarative Automation Bundles (DABs), with STANDARD or PERFORMANCE_OPTIMIZED and classic only where serverless cannot run the workload. Use when creating, deploying, scheduling or editing a job or pipeline, or deciding its compute. Invoke BEFORE writing a job spec. For migrating existing classic workloads, use databricks-serverless-migration.
This skill's licence does not allow redistribution, so the store does not show its text. Read it at the source.
Use this skill
Connect your agent to the Skill Store MCP server and ask for it by ref: databricks/databricks-serverless-37201085968.
Details
- Publisher
- databricks
- Category
- Data & Analytics › Data pipelines & ETL
- Updated
- 2026-10-19
References
More from databricks
- Spark Python Data Source Build custom Python data sources for Apache Spark using the PySpark DataSource API — batch and st…
- Databricks Agent Bricks Create Agent Bricks: Knowledge Assistants (KA) for document Q&A and Supervisor Agents for multi-a…
- Databricks Ai Functions Use Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translat…
- Databricks Ai Runtime Databricks AI Runtime, the `databricks air` CLI commands for submitting and managing GPU training…