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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 notebook editor

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

Databricks notebook editor

What this editor does

A Databricks notebook runs PySpark/SQL/R/Scala cells with cluster attach, Unity Catalog governance, and Photon execution. In Loom it is wired against the Loom-deployed Databricks workspace via Container App MI and AAD bearer tokens.

Getting started

  1. Attach a cluster — Attach the notebook to an all-purpose or job cluster before running cells.
  2. Use Unity Catalog — Read and write tables governed by Unity Catalog three-part names (catalog.schema.table).
  3. Run cells — Execute PySpark, SQL, R, or Scala cells; Photon accelerates SQL.
  4. Promote to a job — Schedule the notebook as a task in a Databricks job for unattended runs.

Learn more

Verified by the UAT harness