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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: Geo pipeline editor

CSA Loom geo-pipeline 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 Geo pipeline from the catalog.
  4. The editor opens at /items/geo-pipeline/<id>:

Geo pipeline editor

What this editor does

A Geo pipeline is a Data-pipeline TEMPLATE for geo enrichment. On instantiate it builds a REAL Azure Data Factory pipeline whose activities are already wired — H3 indexing, reverse geocode against Azure Maps, and buffer generation — with parameters (enrichH3, reverseGeocode, bufferMeters) you can tune; it runs as-is on the Azure-native ADF runtime, no empty seeded pipeline. Newly created geo pipelines instantiate the geo-enrich template into a Data pipeline (runtime ADF) and run via the unified run path; already-created geo items keep their existing route and run unchanged.

Getting started

  1. Tune the enrichment parameters — Set the template parameters: enrichH3 (add an H3 spatial index), reverseGeocode (resolve coordinates to addresses via Azure Maps), and bufferMeters (generate a buffer polygon).
  2. Instantiate the template — Creating a Geo pipeline materializes the geo-enrich template into a real Data pipeline (ADF runtime) with the H3, reverse-geocode, and buffer activities already wired — no empty seeded pipeline.
  3. Run it — Trigger run fires a real ADF createRun on the instantiated pipeline via the unified run path and returns a live run id; the wired enrichment activities execute against ADF + Azure Maps.
  4. Output a geo-dataset — The pipeline writes an enriched, queryable geo-dataset.

Learn more

Verified by the UAT harness