Create an Azure Blob or Amazon S3 source connection in the UI
Last update: April 2, 2025
- Topics:
- Sources
CREATED FOR:
- Developer
Source connectors in Adobe Experience Platform provide the ability to ingest externally sourced data on a scheduled basis.
Cloud storage sources can bring your own data into Experience Platform without the need to download, format, or upload. Ingested data can be formatted as XDM JSON, XDM Parquet, or delimited. Every step of the process is integrated into the Sources workflow. Experience Platform allows you to bring in data from Azure Blob and Amazon S3 through batches.
For detailed instructions on using the Azure Blob source connector, please read the Azure Blob source connector guide.
For detailed instructions on using the Amazon S3 source connector, please read the Amazon S3 source connector guide.
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Experience Platform
- Sources overview
- Available source connectors
- Adobe applications
- Advertising
- Analytics
- Cloud storage
- Amazon Kinesis connector
- Amazon S3 connector
- Apache HDFS connector
- Azure Data Lake Storage Gen2 connector
- Azure Blob connector
- Azure Event Hubs connector
- Azure File Storage connector
- Data Landing Zone
- FTP connector
- Google Cloud Storage connector
- Google PubSub
- Oracle Object Storage
- SFTP connector
- Amazon S3 and Azure Blob connector
- Consent & Preferences
- CRM
- Customer success
- Databases
- Amazon Redshift connector
- Apache Hive on Azure HDInsights connector
- Apache Spark on Azure HDInsights connector
- Azure Databricks connector
- Azure Data Explorer connector
- Azure Synapse Analytics connector
- Azure Table Storage connector
- Couchbase connector
- Google BigQuery connector
- GreenPlum connector
- HP Vertica connector
- IBM DB2 connector
- MariaDB connector
- Microsoft SQL Server connector
- MySQL connector
- Oracle connector
- Phoenix connector
- PostgreSQL connector
- Snowflake Streaming connector
- Snowflake connector
- Teradata Vantage connector
- Data & identity partner
- eCommerce
- Local system
- Marketing automation
- Payments
- Protocols
- Streaming
- API tutorials
- Create a base connection
- Advertising
- Analytics
- Cloud storage
- Consent & Preferences
- CRM
- Customer success
- Databases
- Amazon Redshift
- Apache Hive on Azure HDInsights
- Apache Spark on Azure HDInsights
- Azure Databricks
- Azure Data Explorer
- Azure Synapse Analytics
- Azure Table Storage
- Couchbase
- Google BigQuery
- GreenPlum
- HP Vertica
- IBM DB2
- MariaDB
- MySQL
- Oracle
- Phoenix
- PostgreSQL
- Snowflake Streaming
- Snowflake
- Teradata Vantage
- SQL Server
- eCommerce
- Marketing automation
- Payments
- Protocols
- Streaming
- Explore data
- Collect data
- On-demand ingestion
- Filter data at the source level
- Monitor dataflows
- Update accounts
- Update dataflows
- Retry failed dataflow runs
- Delete accounts
- Delete dataflows
- Ingest encrypted data
- Save a dataflow as a draft
- Apply access labels to a dataflow
- Create a base connection
- UI tutorials
- Create a source connection
- Adobe applications
- Advertising
- Analytics
- Cloud storage
- Consent & Preferences
- CRM
- Customer Success
- Databases
- Amazon Redshift
- Apache Hive on Azure HDInsights
- Apache Spark on Azure HDInsights
- Azure Databricks
- Azure Data Explorer
- Azure Synapse Analytics
- Azure Table Storage
- Couchbase
- Google Big Query
- GreenPlum
- HP Vertica
- IBM DB2
- MariaDB
- Microsoft SQL Server
- MySQL
- Oracle
- Phoenix
- PostgreSQL
- Snowflake
- Snowflake Streaming
- Teradata Vantage
- Data & identity partner
- eCommerce
- Local system
- Marketing automation
- Payments
- Protocols
- Streaming
- Configure a dataflow
- Advertising connection dataflow
- Analytics connection dataflow
- Batch cloud storage connection dataflow
- Streaming cloud storage connection dataflow
- Consent & Preferences connection dataflow
- CRM connection dataflow
- Customer success connection dataflow
- Database connection dataflow
- Ecommerce connection dataflow
- Marketing automation connection dataflow
- Payment connection dataflow
- Protocol connection dataflow
- Create a sources dataflow using templates in the UI
- Ingest encrypted data
- On-demand ingestion
- Monitor batch dataflows
- Monitor streaming dataflows
- Update accounts
- Update dataflows
- Delete accounts
- Delete dataflows
- Subscribe to sources alerts
- Save a dataflow as a draft
- Apply access labels to a dataflow
- Create a source connection
- Self-Serve Sources (Batch SDK)
- Overview
- Configure your connection specification
- Self-Serve Sources (Batch SDK) API guide
- Documentation guide
- Streaming SDK
- Get started with Self-Serve Sources (Streaming SDK)
- Create a connection specification for a streaming source
- Update a connection specification for a streaming source
- Update the streaming flow specification
- Test and submit your connection specification for verification
- Document your source (Streaming SDK)
- Documentation self-service API streaming template
- Documentation self-service UI streaming template
- Error messages
- Flow run notifications
- IP address allow list
- Frequently asked questions
- API reference
- Experience Platform release notes