- Overview
- Introduction to Platform
- A customer experience powered by Experience Platform
- Behind the scenes: A customer experience powered by Experience Platform
- Experience Platform overview
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- Using the Platform user interface
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- Getting started: Data Architects and Data Engineers
- Import sample data to Experience Platform
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- Data Governance
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- Overview
- Batch ingestion overview
- Create and populate a dataset
- Map a CSV file to XDM
- Sources overview
- Ingest data from Adobe Analytics
- Ingest data from Audience Manager
- Ingest data from cloud storage
- Ingest data from CRM
- Ingest data from databases
- Streaming ingestion overview
- Stream data with HTTP API
- Stream data using Source Connectors
- Dataflow monitoring
- Monitoring dashboard
- Web SDK tutorials
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- Architecture
- Load data in JupyterLab notebooks
- Query and discover data in JupyterLab notebooks
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- Recipes, models, and services overview
- Build a model using the recipe builder template
- Analyze model performance
- Create and publish a trained model (UI)
- Schedule automated training and scoring for a service
- Enrich Real-time Customer Profiles with machine learning insights
- Package source files into a recipe
- Import a packaged recipe (UI)
- Import a packaged recipe (API)
- Destinations
- Destinations overview
- Create destinations and activate data
- Activate profiles and segments to a destination
- Integrate with Google Customer Match
- Configure the Azure Blob Destination
- Configure file-based cloud storage or email marketing destinations
- Configure a social destination
- Activate data to non-Adobe applications webinar
- Identities
- Profiles
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- Application Services
- Intelligent Services
- Experience Cloud Integrations
- Industry Trends
Ingest data using database source connector
This video walks through how to perform a batch ingest of data from a database source into Adobe Experience Platform’s Real-time Customer Profile and Experience Data Lake, in a seamless and scalable manner. For more detailed product documentation, see database on the Source Connectors overview page.
INFO
This video is part of a course Data Ingestion for Data Engineers, available for free on Experience League!
For more information, please see the Google Big Query source connector documentation.
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