DatriseAI-first ETL

Housecall Pro Azure Data Lake Storage

AI-first ETL from Housecall Pro into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.

How Datrise loads Housecall Pro into Azure Data Lake Storage

Datrise syncs Housecall Pro'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

Housecall Pro: Field service CRM for scheduling, jobs, and customer history.

Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.

How Housecall Pro entities map to Azure Data Lake Storage

Housecall Pro entityAzure Data Lake Storage objectNotes
contactshousecall_pro_contactsid PK · custom fields → nested struct/map fields in Parquet
accountshousecall_pro_accountsid PK · linked to housecall_pro_contacts
dealshousecall_pro_dealsid PK · linked to housecall_pro_contacts
activitieshousecall_pro_activitiesISO-8601 timestamp columns events

FAQ

How does Datrise handle Housecall Pro'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 Housecall Pro 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

Early access

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