- Overview
- Introduction to Platform
- A customer experience powered by Experience Platform
- Behind the scenes: A customer experience powered by Experience Platform
- Experience Platform overview
- Key capabilities
- Application and Intelligent Services
- Integrations with Experience Cloud applications
- Key use cases
- Basic architecture
- Using the Platform user interface
- Roles and project phases
- Authenticate to Experience Platform APIs
- Getting started: Data Architects and Data Engineers
- Import sample data to Experience Platform
- Data Governance
- Data Ingestion
- Overview
- Batch ingestion overview
- Create and populate a dataset
- Map a CSV file to XDM
- Streaming ingestion overview
- Create an authenticated streaming connection
- Create a streaming connection (UI)
- Create a streaming connection (API)
- Streaming record data
- Streaming time series data
- Streaming multiple messages
- Dataflow monitoring
- Monitoring dashboard
- Web SDK tutorials
- Mobile SDK tutorials
- Debugger tutorials
- Data Science Workspace
- Overview
- Architecture
- Load data in JupyterLab notebooks
- Train, score and productize models with the recipe builder template
- Create and publish a machine learning model
- Create the Retail Sales schema and dataset
- Preview schemas and datasets
- Package source files into a recipe
- Import a packaged recipe (UI)
- Import a packaged recipe (API)
- Optimize a model
- Enrich Real-time Customer Profile with machine learning insights
- Publish a model as a service (UI)
- Publish a model as a service (API)
- Schedule automated training and scoring on a service
- Destinations
- Identities
- Profiles
- Queries
- Sandboxes
- Schemas
- Segments
- Sources
- Application Services
- Intelligent Services
- Experience Cloud Integrations
Sources overview
This video gives an overview of Sources, or Source connectors, in the Adobe Experience Platform UI. Sources are easily configurable integrations that allow you to ingest data from Adobe, first-party, and third-party applications into Adobe Experience Platform’s Real-time Customer Profile and Data Lake, in a seamless and scalable manner.
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