DatriseAI-first ETL

Nimble Azure Data Lake Storage

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

How Datrise loads Nimble into Azure Data Lake Storage

Datrise syncs Nimble's relationship records, deals, tasks, and activity intelligence 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

Nimble: Relationship-focused CRM for SMB sales teams.

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

How Nimble entities map to Azure Data Lake Storage

Nimble entityAzure Data Lake Storage objectNotes
relationship recordsnimble_relationship_recordsid PK · custom fields → nested struct/map fields in Parquet
dealsnimble_dealsid PK · linked to nimble_relationship_records
tasksnimble_tasksid PK · linked to nimble_relationship_records
activity intelligencenimble_activity_intelligenceISO-8601 timestamp columns events

FAQ

How does Datrise handle Nimble'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 Nimble 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

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