DatriseAI-first ETL

Mailjet SMS to Databricks SQL Warehouse Integration

AI-first ETL from Mailjet SMS into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Mailjet SMS into Databricks SQL Warehouse

Datrise syncs Mailjet SMS's SMS messages, recipients, delivery statuses, senders, campaigns, and costs into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

Mailjet SMS: SMS delivery and message status tracking.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How Mailjet SMS entities map to Databricks SQL Warehouse

Mailjet SMS entityDatabricks SQL Warehouse objectNotes
SMS messagesmailjet_sms_sms_messagesid PK · custom fields → VARIANT or STRUCT columns
recipientsmailjet_sms_recipientsid PK · linked to mailjet_sms_sms_messages
delivery statusesmailjet_sms_delivery_statusesTIMESTAMP events
sendersmailjet_sms_sendersid PK · linked to mailjet_sms_sms_messages

FAQ

How does Datrise handle Mailjet SMS's custom fields in Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the Mailjet SMS to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

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