DatriseAI-first ETL

SurveyCTO to Databricks SQL Warehouse Integration

AI-first ETL from SurveyCTO into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads SurveyCTO into Databricks SQL Warehouse

Datrise syncs SurveyCTO's form submissions, forms, fields, answers, enumerators, and submission timestamps into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

SurveyCTO: Offline-capable field survey data collection.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How SurveyCTO entities map to Databricks SQL Warehouse

SurveyCTO entityDatabricks SQL Warehouse objectNotes
form submissionssurveycto_form_submissionsid PK · custom fields → VARIANT or STRUCT columns
formssurveycto_formsid PK · linked to surveycto_form_submissions
fieldssurveycto_fieldsid PK · linked to surveycto_form_submissions
answerssurveycto_answersid PK · linked to surveycto_form_submissions

FAQ

How does Datrise handle SurveyCTO's custom fields in Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the SurveyCTO to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

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