DatriseAI-first ETL

SendGrid to Azure Data Lake Storage Integration

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

How Datrise loads SendGrid into Azure Data Lake Storage

Datrise syncs SendGrid's messages, contacts, delivery events, bounces, opens, and marketing campaigns 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

SendGrid: Transactional email delivery and engagement events.

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

How SendGrid entities map to Azure Data Lake Storage

SendGrid entityAzure Data Lake Storage objectNotes
messagessendgrid_core_messagesid PK · custom fields → nested struct/map fields in Parquet
contactssendgrid_core_contactsid PK · linked to sendgrid_core_messages
delivery eventssendgrid_core_delivery_eventsISO-8601 timestamp columns events
bouncessendgrid_core_bouncesid PK · linked to sendgrid_core_messages

FAQ

How does Datrise handle SendGrid'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 SendGrid 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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