Zendesk Sell → Azure Data Lake Storage
AI-first ETL from Zendesk Sell into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads Zendesk Sell into Azure Data Lake Storage
Datrise syncs Zendesk Sell's leads, deals, activities, and Zendesk-aligned sales operations 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
Zendesk Sell: Sales CRM for lead and deal tracking in Zendesk ecosystems.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How Zendesk Sell entities map to Azure Data Lake Storage
| Zendesk Sell entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| leads | zendesk_sell_leads | id PK · custom fields → nested struct/map fields in Parquet |
| deals | zendesk_sell_deals | id PK · linked to zendesk_sell_leads |
| activities | zendesk_sell_activities | ISO-8601 timestamp columns events |
| Zendesk-aligned sales operations | zendesk_sell_zendesk_aligned_sales_operations | id PK · linked to zendesk_sell_leads |
FAQ
How does Datrise handle Zendesk Sell'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 Zendesk Sell 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 Zendesk Sell
- Zendesk Sell → Azure Synapse
- Zendesk Sell → Spreadsheets
- Zendesk Sell → Airtable
- Zendesk Sell → CSV Files
- Zendesk Sell → MongoDB
- Zendesk Sell → Supabase
- Zendesk Sell → Neon
- Zendesk Sell → PlanetScale
- Zendesk Sell → Amazon DynamoDB
- Zendesk Sell → Looker
- Zendesk Sell → Looker Studio
- Zendesk Sell → Microsoft Power BI
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Early access
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