Whisky Hunter → Azure Data Lake Storage
AI-first ETL from Whisky Hunter into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads Whisky Hunter into Azure Data Lake Storage
Datrise syncs Whisky Hunter's records, events, and configuration objects 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
Whisky Hunter: SaaS or API data source for analytics and warehouse sync.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How Whisky Hunter entities map to Azure Data Lake Storage
| Whisky Hunter entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| records | whisky_hunter_records | id PK · custom fields → nested struct/map fields in Parquet |
| events | whisky_hunter_events | ISO-8601 timestamp columns events |
| configuration objects | whisky_hunter_configuration_objects | id PK · linked to whisky_hunter_records |
FAQ
How does Datrise handle Whisky Hunter'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 Whisky Hunter 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 Whisky Hunter
- Whisky Hunter → Azure Synapse
- Whisky Hunter → Spreadsheets
- Whisky Hunter → Airtable
- Whisky Hunter → CSV Files
- Whisky Hunter → MongoDB
- Whisky Hunter → Supabase
- Whisky Hunter → Neon
- Whisky Hunter → PlanetScale
- Whisky Hunter → Amazon DynamoDB
- Whisky Hunter → Looker
- Whisky Hunter → Looker Studio
- Whisky Hunter → Microsoft Power BI
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Early access
Connect Whisky Hunter to Azure Data Lake Storage the easy way
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