DatriseAI-first ETL

SurveyCTO to Amazon S3 Data Lake Integration

AI-first ETL from SurveyCTO into Amazon S3 Data Lake. Governed entities, incremental sync, typed landing tables.

How Datrise loads SurveyCTO into Amazon S3 Data Lake

Datrise syncs SurveyCTO's form submissions, forms, fields, answers, enumerators, and submission timestamps into Amazon S3 Data Lake as columnar Parquet objects partitioned per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes new date partitions and compacts small files on a schedule, so re-runs update only what changed. Hive-style path partitioning (entity/date) for engine-agnostic reads. A lake has no schema enforcement, so Datrise writes a schema manifest alongside the data to keep downstream engines consistent.

Ideal for an open, engine-neutral storage layer for Spark, Athena, Trino, or DuckDB.

Endpoints

SurveyCTO: Offline-capable field survey data collection.

Amazon S3 Data Lake: Object storage landing zone for parquet and snapshots.

How SurveyCTO entities map to Amazon S3 Data Lake

SurveyCTO entityAmazon S3 Data Lake objectNotes
form submissionssurveycto_form_submissionsid PK · custom fields → nested struct/map fields in Parquet
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 Amazon S3 Data Lake?

Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon S3 Data Lake types.

How does the SurveyCTO to Amazon S3 Data Lake sync stay up to date?

It runs incrementally — Datrise uses writes new date partitions and compacts small files on a schedule.

Related pipelines

Early access

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