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
- Platform-based applications
- Integrations with Experience Cloud applications
- Key use cases
- Basic architecture
- User interface
- Roles and project phases
Introduction to Real-Time CDP
- Overview
- End-to-end demo
- Workflow
- Overview of B2B Edition
- Orchestrate campaigns with Marketo Engage
Getting started: Data Architects and Data Engineers
Authenticate to Experience Platform APIs
Import sample data to Experience Platform
Administration
- Use alerts
- Use sandboxes
- Copy objects between sandboxes
- Configure attribute-based access control
- Admin Console
- Manage product profiles
Audiences and Segmentation
- Introduction to Audience Portal and Composition
- Upload audiences
- Audience rule builder overview
- Create audiences
- Create content-based audiences
- Create conversion audiences
- Create audiences from existing audiences
- Create sequential audiences
- Create dynamic audiences
- Create multi-entity audiences
- Create audiences with B2B data
- Demo of streaming segmentation
- Evaluate an audience rule
- 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
Audit logs
Data Collection
Dashboards
- Create a dashboard
Data Governance
- Overview
- End-to-end demo
- Classify data using labels
- Create data usage policies
- Enforce data usage policies
- Enforce consent
- Integrate with IAB Transparency and Consent Framework 2.0
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
- Configure a dataset export 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
- Activate through LiveRamp destinations
- Adobe Target and Custom Personalization
- Activate data to non-Adobe applications webinar
Identities
- Identity and identity graphs overview
- Label, ingest, and verify identity data
- View identity graphs
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
Monitoring
- Monitor data ingestion
- Monitor segment activation
- Monitor dataflows
Partner data support
- Partner data support overview
- Support offsite prospecting
- Add partner attributes to profiles
- Personalize onsite for unknown visitors
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
- Update a specific attribute using upsert
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
- Validate data in the datalake
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
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
- Troubleshoot: SFTP Connector
Experience Cloud Integrations
- Analytics
- Audience Manager
- Commerce
- Marketo Engage
- 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

Related Topics

Related Content

Documentation

Experience Platform

Tutorials

Ingest data using a database source connector

Ingest data using database source connector

Last update: 2023-09-25

Topics:
Sources
View more on this topic

Created for:
Intermediate

Developer

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 or the Google Big Query source connector documentation.