Agendor to Azure Data Lake Storage Integration
AI-first ETL from Agendor into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads Agendor into Azure Data Lake Storage
Datrise syncs Agendor's organizations, people, deals, funnel stages, activities, and proposals 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
Agendor: Brazilian sales CRM for pipeline and account follow-up.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How Agendor entities map to Azure Data Lake Storage
| Agendor entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| organizations | agendor_organizations | id PK · custom fields → nested struct/map fields in Parquet |
| people | agendor_people | id PK · linked to agendor_organizations |
| deals | agendor_deals | id PK · linked to agendor_organizations |
| funnel stages | agendor_funnel_stages | id PK · linked to agendor_organizations |
FAQ
How does Datrise handle Agendor'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 Agendor 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 Agendor
More sources for Azure Data Lake Storage
- Ploomes → Azure Data Lake Storage
- Moskit CRM → Azure Data Lake Storage
- PipeRun → Azure Data Lake Storage
- Omie CRM → Azure Data Lake Storage
- Nectar CRM → Azure Data Lake Storage
- Holded → Azure Data Lake Storage
- ForceManager → Azure Data Lake Storage
- SUMA CRM → Azure Data Lake Storage
- Efficy CRM → Azure Data Lake Storage
- Sellsy → Azure Data Lake Storage
- Teamleader → Azure Data Lake Storage
- SuperOffice CRM → Azure Data Lake Storage
Early access
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