Mailjet SMS to Azure Data Lake Storage Integration
AI-first ETL from Mailjet SMS into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mailjet SMS into Azure Data Lake Storage
Datrise syncs Mailjet SMS's SMS messages, recipients, delivery statuses, senders, campaigns, and costs 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
Mailjet SMS: SMS delivery and message status tracking.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How Mailjet SMS entities map to Azure Data Lake Storage
| Mailjet SMS entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| SMS messages | mailjet_sms_sms_messages | id PK · custom fields → nested struct/map fields in Parquet |
| recipients | mailjet_sms_recipients | id PK · linked to mailjet_sms_sms_messages |
| delivery statuses | mailjet_sms_delivery_statuses | ISO-8601 timestamp columns events |
| senders | mailjet_sms_senders | id PK · linked to mailjet_sms_sms_messages |
FAQ
How does Datrise handle Mailjet SMS'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 Mailjet SMS 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.
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Early access
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