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CSA Loom — the Microsoft Fabric experience for Azure tenants where Fabric isn't yet available: lakehouses, warehouses, notebooks, semantic models, Activator rules, Data Agents, across Commercial, GCC, GCC-High, and DoD IL5

Tutorial: Databricks cluster editor

CSA Loom databricks-cluster editor — verified working against a live console by the UAT harness on 2026-07-01.

Open the editor

  1. Sign in to your CSA Loom Console (for example https://<your-console-host>).
  2. Open or create a workspace from the Workspaces page.
  3. Click + New item and choose Databricks cluster from the catalog.
  4. The editor opens at /items/databricks-cluster/<id>:

Databricks cluster editor

What this editor does

A Databricks cluster is all-purpose or job Spark compute — node types, autoscale, init scripts, libraries. In Loom it is managed against the Loom-deployed Databricks workspace. Auto-terminate controls cost.

Getting started

  1. Pick node type and size — Choose driver/worker node types and a fixed or autoscaling worker count.
  2. Add libraries and init scripts — Attach libraries and init scripts the workloads need at startup.
  3. Set auto-terminate — Configure an idle auto-terminate window so the cluster stops billing when unused.
  4. Start and attach — Start the cluster and attach notebooks or jobs to it.

Learn more

Verified by the UAT harness