Skip to content
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 job editor

CSA Loom databricks-job 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 job from the catalog.
  4. The editor opens at /items/databricks-job/<id>:

Databricks job editor

What this editor does

A Databricks job is a multi-task workflow — notebooks, JARs, Python wheels, dbt, SQL — with dependencies and retry policies. In Loom it runs against the Loom-deployed Databricks workspace via the jobs API.

Getting started

  1. Add tasks — Compose tasks from notebooks, JARs, Python wheels, dbt, or SQL.
  2. Wire dependencies — Set task dependencies and per-task retry policies.
  3. Trigger run-now — Run the job on demand or schedule it; runs surface from jobs/runs/list.
  4. Inspect runs — Review real run records to see task status, output, and failures.

Learn more

Verified by the UAT harness