- 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
- 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
- Identities
- Profiles
- Queries
- Sandboxes
- 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
- Demo of streaming segmentation
- Evaluate a segment
- Create a dataset to export data
- Enforce data usage compliance for segments
- Sources
- Application Services
- Intelligent Services
- Experience Cloud Integrations
Query and discover data in Data Science Workspace
Adobe Experience Platform allows you to use Structured Query Language (SQL) in Data Science Workspace by integrating Query Service into JupyterLab as a standard feature. This tutorial demonstrates some common use cases to explore, transform, and analyze data.
INFO
This video is part of a course, Getting Started with Data Science Workspace for Data Scientists, available for free on Experience League!
Additional Resources
Resources on adobe.com
Resources
Adobe Account
Change region
Copyright © 2021 Adobe. All Rights Reserved.
