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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: Notebook editor

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

Notebook editor

What this editor does

A Notebook is interactive Spark/Python authoring with cells and outputs. In Loom it attaches to a Synapse Spark pool or a Databricks cluster and reads/writes Lakehouse Delta tables. Use it for data engineering and data science work that needs code.

Getting started

  1. Attach compute — Attach the notebook to a Synapse Spark pool or a Databricks cluster before running a cell — Loom shows the attach state in the chrome.
  2. Read from a Lakehouse — Read Delta with spark.read.format('delta').load('Files/...') or query the mounted SQL endpoint.
  3. Write results back — Persist with df.write.mode('overwrite').format('delta').save('Tables/...') so the output lands as a managed table.
  4. Schedule recurring runs — Wire the notebook into a Data pipeline or Synapse pipeline trigger for scheduled execution.

Learn more

Verified by the UAT harness