Streaming Ingestion

The Data Cloud Ingestion API uses a fire-and-forget pattern to synchronize micro-batches of updates between the source system and Data Cloud in near-real time. Data is processed asynchronously approximately every 3 minutes.

  • Insert Records

    Load new objects and update existing objects into your Data Cloud data lake table.

  • Delete Records

    Delete records from the data lake table.

  • Synchronous Record Validation

    Quickly validate your payloads synchronously in development mode before you commit records to the lake.

See Also

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Data Cloud Reference Guide
Connect Data
Ingest Data
Ingest Data into Data Cloud
Get Started with Ingestion API
Streaming Ingestion
Insert Records
Delete Records
Synchronous Record Validation
Bulk Ingestion
Real-Time Ingestion
Create an Amazon S3 Data Stream
Rotation of S3 Credentials with Metadata API
Model Data in Data Cloud
Query Data