Follow Up Boss → Azure Data Lake Storage
AI-first ETL from Follow Up Boss into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads Follow Up Boss into Azure Data Lake Storage
Datrise syncs Follow Up Boss's contacts, accounts, deals, activities, and lifecycle events 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
Follow Up Boss: Real estate CRM for leads, listings, and agent follow-up.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How Follow Up Boss entities map to Azure Data Lake Storage
| Follow Up Boss entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| contacts | follow_up_boss_contacts | id PK · custom fields → nested struct/map fields in Parquet |
| accounts | follow_up_boss_accounts | id PK · linked to follow_up_boss_contacts |
| deals | follow_up_boss_deals | id PK · linked to follow_up_boss_contacts |
| activities | follow_up_boss_activities | ISO-8601 timestamp columns events |
FAQ
How does Datrise handle Follow Up Boss'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 Follow Up Boss 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 Follow Up Boss
- Follow Up Boss → Azure Synapse
- Follow Up Boss → Spreadsheets
- Follow Up Boss → Airtable
- Follow Up Boss → CSV Files
- Follow Up Boss → MongoDB
- Follow Up Boss → Supabase
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- Follow Up Boss → PlanetScale
- Follow Up Boss → Amazon DynamoDB
- Follow Up Boss → Looker
- Follow Up Boss → Looker Studio
- Follow Up Boss → Microsoft Power BI
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Early access
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