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
Getting started: Data Architects and Data Engineers
Authenticate to Experience Platform APIs
Import sample data to Experience Platform
Administration
- Use alerts
- Use sandboxes
- Configure attribute-based access control
- Admin Console
- Manage product profiles
Audit logs
Data Collection
Dashboards
- Create a dashboard
Data Governance
- Overview
- End-to-end demo
- Classify data using governance labels
- Create data usage policies
- Enforce data usage policies
- Enforce consent
Data Hygiene
- Delete datasets
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
- 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
- Identity and identity graphs overview
- Label, ingest, and verify identity data
- View identity graphs
Monitoring
- Monitor data ingestion
- Monitor segment activation
- Monitor dataflows
Profiles
- Understanding Real-Time Customer Profile
- Profile overview diagram
- Bring data into Profile
- Customize profile view details
- View account profiles
- Create merge policies
- Union schemas overview
Privacy and Security
- 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
- Set up customer-managed keys
- 10 considerations for Responsible Customer Data Management
- Elevating the Marketer’s Role as a Data Steward
Queries
- Overview
- Query Service UI
- Query Service API
- Explore Data
- Prepare Data
- Adobe Defined Functions
- Data usage patterns
- Run queries
- Generate datasets from query results
- Tableau
- Analyze and visualize data
- Build dashboards using BI tools
- Recharge your customer data
- Connect clients to Query Service
Schemas
- Overview
- Building blocks
- Plan your data model
- Convert your data model to XDM
- Create schemas
- Create schemas for B2B data
- Create classes
- Create field groups
- Create data types
- Configure relationships between schemas
- Use enumerated fields and suggested values
- Copy schemas between sandboxes
- Update schemas
- Create an ad hoc schema
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
- Segment Match receiving data
Sources
- Sources overview
- Ingest data from Adobe Analytics
- Ingest data from Audience Manager
- Ingest data from Marketo
- Ingest data from cloud storage
- Ingest data from CRM
- Ingest data from databases
- Stream data with HTTP API
- Stream data using Source Connectors
Application Services
- Customer Journey Analytics tutorials
- Journey Orchestration tutorials
- Offer Decisioning tutorials
- Real-Time CDP tutorials
Intelligent Services
- Overview
- Attribution AI overview
- Attribution AI value
- Configure Attribution AI
- Use Attribution AI Scores and Insights
- Customer AI overview
- Customer AI value
- Configure Customer AI
- Use Customer AI Scores and Insights
Experience Cloud Integrations
- Magento
- Orchestrate campaigns with Marketo Engage
- Next-hit personalization with Adobe Target
Industry Trends
- The Future of Data Management and the Changing Environment
- A Tale of Two Perceptions - Brands vs. Consumers
- Evolving Your Audience Center of Excellence
- Building better experiences with customer profiles
- Data Collaboration in the First-party Data Context

Prepare data

Learn how to clean, prepare, and combine data from multiple datasets to create a new dataset using CTAS (Create Table AS) and Spark SQL functions for reporting and dashboarding.

INFO

This video is part of a course Create Dashboards Using Query Service, available for free on Experience League!

For more information, please visit the Query Service documentation.

Prepare data

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