Impact to Azure Data Lake Storage Integration
AI-first ETL from Impact into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads Impact into Azure Data Lake Storage
Datrise syncs Impact's partners, actions, clicks, conversions, payouts, and campaigns 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
Impact: Partnership and affiliate performance tracking.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How Impact entities map to Azure Data Lake Storage
| Impact entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| partners | impact_partners | id PK · custom fields → nested struct/map fields in Parquet |
| actions | impact_actions | id PK · linked to impact_partners |
| clicks | impact_clicks | id PK · linked to impact_partners |
| conversions | impact_conversions | id PK · linked to impact_partners |
FAQ
How does Datrise handle Impact'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 Impact 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
More destinations for Impact
More sources for Azure Data Lake Storage
- Import API → Azure Data Lake Storage
- Instagram → Azure Data Lake Storage
- Instatus → Azure Data Lake Storage
- Intacct → Azure Data Lake Storage
- Intercom Tickets → Azure Data Lake Storage
- Intruder → Azure Data Lake Storage
- Invoiced → Azure Data Lake Storage
- Jenkins → Azure Data Lake Storage
- JSON File → Azure Data Lake Storage
- k6 Cloud → Azure Data Lake Storage
- Klarna → Azure Data Lake Storage
- Kyriba → Azure Data Lake Storage
Early access
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