DatriseAI-first ETL

Outreach Azure Data Lake Storage

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

How Datrise loads Outreach into Azure Data Lake Storage

Datrise syncs Outreach's sequence activity, pipeline execution metrics, and sales engagement events 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

Outreach: Sales execution platform for sequence activity and pipeline outcomes.

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

How Outreach entities map to Azure Data Lake Storage

Outreach entityAzure Data Lake Storage objectNotes
sequence activityoutreach_sequence_activityISO-8601 timestamp columns events
pipeline execution metricsoutreach_pipeline_execution_metricsid PK · linked to outreach_sequence_activity
sales engagement eventsoutreach_sales_engagement_eventsISO-8601 timestamp columns events

FAQ

How does Datrise handle Outreach'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 Outreach 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

Early access

Connect Outreach to Azure Data Lake Storage the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.