Bigin by Zoho → Azure Data Lake Storage
AI-first ETL from Bigin by Zoho into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads Bigin by Zoho into Azure Data Lake Storage
Datrise syncs Bigin by Zoho's SMB leads, contacts, deals, and day-to-day activity tracking 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
Bigin by Zoho: SMB CRM source for leads, deals, and activity tracking.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How Bigin by Zoho entities map to Azure Data Lake Storage
| Bigin by Zoho entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| SMB leads | bigin_by_zoho_smb_leads | id PK · custom fields → nested struct/map fields in Parquet |
| contacts | bigin_by_zoho_contacts | id PK · linked to bigin_by_zoho_smb_leads |
| deals | bigin_by_zoho_deals | id PK · linked to bigin_by_zoho_smb_leads |
| day-to-day activity tracking | bigin_by_zoho_day_to_day_activity_tracking | ISO-8601 timestamp columns events |
FAQ
How does Datrise handle Bigin by Zoho'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 Bigin by Zoho 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 Bigin by Zoho
- Bigin by Zoho → Azure Synapse
- Bigin by Zoho → Spreadsheets
- Bigin by Zoho → Airtable
- Bigin by Zoho → CSV Files
- Bigin by Zoho → MongoDB
- Bigin by Zoho → Supabase
- Bigin by Zoho → Neon
- Bigin by Zoho → PlanetScale
- Bigin by Zoho → Amazon DynamoDB
- Bigin by Zoho → Looker
- Bigin by Zoho → Looker Studio
- Bigin by Zoho → Microsoft Power BI
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Early access
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