Adobe Experience Platform enables organizations to centralize and standardize customer data from any system before applying data science and machine learning to dramatically improve the design and delivery of rich, personalized experiences.
Data Ingestion and Management
- Catalog Service
Explore data lineage, metadata, file descriptions, directories, and datasets within the Data Lake.
Visualize Experience Platform data on customizable dashboards.
- Data Access
Discover and access ingested datasets within Platform.
- Data Ingestion
Bring your data into Platform through batch or streaming ingestion.
- Data Prep
Prepare your data for ingestion into Adobe Experience Platform.
Dataflows are a representation of data jobs that move data across Platform.
Monitor Platform activities through the use of statistical metrics and event notifications.
Ingest data from a variety of sources or structure, label, and enhance already ingested data.
- Identity Service
Bridge customer identities across devices and systems to deliver personalized digital experiences.
- Real-time Customer Profile
Merge customer data to create a unified view of customer interactions across channels.
- Segmentation Service
Build segments and generate audiences from your Real-time Customer Profile data.
- Data Collection
Enable client-side data collection for Adobe Experience Platform Edge Network.
Data Science and Queries
- Data Science Workspace
Use machine learning to develop, train, and score models and recipes with Adobe Sensei and JupyterLab Notebooks.
- Intelligent Services
Utilize intelligent AI services to generate scores, discover insights, and create segments from your marketing events data.
- Query Service
Use standard SQL to query data in Platform Data Lake.
Activate your known and unknown data for cross-channel marketing campaigns, email campaigns, targeted advertising, and many other use cases.
This video walks through an overview diagram and explains the primary components of Experience Platform.
This video shows you how to label data fields as identities, ingest Identity data and then verify that the data has made it to the private graph.
Learn about Experience Data Model (XDM), the standard data model to describe customer experiences.
This document provides a link to the step-by-step tutorial for gaining access to Adobe Experience Platform APIs.
This tutorial covers the steps for creating a schema using the Schema Editor within Experience Platform.
This video gives an overview of Sources, or Source connectors, in the Adobe Experience Platform UI. Sources are easily configurable integrations that allow you to ingest data from Adobe, first-party, and third-party applications into Adobe Experience Platform’s Real-time Customer Profile and Data Lake, in a seamless and scalable manner.
A hands-on tutorial to start implementing Platform. Sample data and assets provided.
A hands-on tutorial covering many aspects of Platform, including connections to third-party systems.
Digital Experience Blueprints are repeatable implementations to address strategy and solve established business problems. They accelerate time-to-value and provide a fast path to success.