DatriseAI-first ETL

SurveyMonkey Azure Data Lake Storage

AI-first ETL from SurveyMonkey into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.

How Datrise loads SurveyMonkey into Azure Data Lake Storage

Datrise syncs SurveyMonkey's surveys, questions, responses, collectors, and quotas into Azure Data Lake Storage as partitioned Parquet in ADLS Gen2 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 to the container and compacts on a schedule, so re-runs update only what changed. Hive-style partitioning by load date, readable by Synapse and Databricks. ADLS hierarchical namespace makes folder layout matter, so Datrise keeps a predictable entity/date path your Azure engines mount directly.

Ideal for Azure lakehouse storage shared across Synapse and Databricks.

Endpoints

SurveyMonkey: Survey creation and response analytics.

Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.

How SurveyMonkey entities map to Azure Data Lake Storage

SurveyMonkey entityAzure Data Lake Storage objectNotes
surveyssurveymonkey_surveysid PK · custom fields → nested struct/map fields in Parquet
questionssurveymonkey_questionsid PK · linked to surveymonkey_surveys
responsessurveymonkey_responsesid PK · linked to surveymonkey_surveys
collectorssurveymonkey_collectorsid PK · linked to surveymonkey_surveys

FAQ

How does Datrise handle SurveyMonkey's custom fields in Azure Data Lake Storage?

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 Azure Data Lake Storage types.

How does the SurveyMonkey to Azure Data Lake Storage sync stay up to date?

It runs incrementally — Datrise uses writes new date partitions to the container and compacts on a schedule.

Related pipelines

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