Release date: September 29, 2021
Updates to existing features in Adobe Experience Platform:
Adobe Experience Platform Data Ingestion represents the multiple methods by which Platform ingests data from various sources, as well as how that data is persisted within the Data Lake for use by downstream Platform services.
|Upsert or patch Profile records using Batch ingestion||Real-time Customer Profile now allows updates to profile attributes in individual profile record data via batch ingestion. To learn more, refer to the batch ingestion developer guide.|
To learn more about ingesting data into Platform, visit the Data Ingestion documentation.
Data Prep allows data engineers to map, transform, and validate data to and from Experience Data Model (XDM).
|Support for streaming dataflows||You can now use data prep functions when creating a streaming dataflow for Amazon Kinesis, Azure Event Hubs, and Google PubSub. See the tutorial on creating a streaming dataflow for cloud storage sources for more information.|
To learn more about Data Prep see the Data Prep overview.
Adobe Experience Platform can ingest data from external sources while allowing you to structure, label, and enhance that data using Platform services. You can ingest data from a variety of sources such as Adobe applications, cloud-based storage, third-party software, and your CRM system.
Experience Platform provides a RESTful API and an interactive UI that lets you set up source connections for various data providers with ease. These source connections allow you to authenticate and connect to external storage systems and CRM services, set times for ingestion runs, and manage data ingestion throughput.
|Data Landing Zone||You can now create a Data Landing Zone source connection using the Flow Service API or the user interface. Data Landing Zone is an Azure Blob storage interface provisioned by Platform, granting you to access a secure, cloud-based file storage facility to bring files into Platform. See the Data Landing Zone overview for more information.|
|Snowflake||You can now create a Snowflake source connection using the Flow Service API or the user interface to bring data from your Snowflake database to Platform. See the Snowflake overview for more information.|
|SFTP source enhancements||You can manually set a custom port number when creating an SFTP source connection. See the SFTP overview for more information.|
To learn more about sources, see the sources overview.