- Platform Tutorials
- 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
- Administration
- Data Governance
- Data Ingestion
- 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
- Mobile SDK tutorials
- Data Science Workspace
- Overview
- Architecture
- Load data in JupyterLab notebooks
- Query and discover data in JupyterLab notebooks
- Exploratory Data Analysis
- 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
- Connecting to destinations
- Create destinations and activate data
- Activate profiles and segments to a destination
- Integrate with Google Customer Match
- Configure the Azure Blob destination
- Configure the Marketo destination
- Configure file-based cloud storage or email marketing destinations
- Configure a social destination
- Next-hit personalization with Adobe Target
- Activate data to non-Adobe applications webinar
- Identities
- Profiles
- Privacy
- Introduction to Privacy Service
- Identity data in Privacy requests
- Privacy JavaScript library
- Privacy labels in Adobe Analytics
- Getting started with the Privacy Service API
- Privacy Service UI
- Privacy Service API
- Subscribe to Privacy Events
- 10 considerations for Responsible Customer Data Management
- Elevating the Marketer’s Role as a Data Steward
- Queries
- Schemas
- Segments
- Segment Builder Overview
- Create segments
- Create content-based segments
- Create conversion segments
- Create segments from existing segments
- Create sequential segments
- Create dynamic segments
- Create multi-entity segments
- Create segments with B2B data
- Demo of streaming segmentation
- Evaluate a segment
- Create a dataset to export data
- Segment Match connection setup
- Segment Match data governance
- Segment Match configuration flow
- Segment Match pre-share insights
- Sources
- Application Services
- Intelligent Services
- Experience Cloud Integrations
- Industry Trends
Data Science Workspace architecture overview
This video walks through an overview diagram and explains the primary components of Experience Platform as it relates to Data Science Workspace.
INFO
This video is part of a course, Getting Started with Data Science Workspace for Data Scientists, available for free on Experience League!
For more information, please visit the Data Science Workspace documentation.
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