Data Modeling section-overview
Data Modeling in Adobe Real-Time Customer Data Platform empowers you to organize and structure your data to create meaningful connections and insights for personalized customer experiences. Whether you’re designing schemas to map your data effectively, managing datasets to ensure quality during ingestion, or unifying customer identities across systems, each feature plays a vital role in building a comprehensive customer profile. You’ll explore how schemas define the framework for your data, how datasets maintain its integrity, and how identities bring it all together. This section sets the stage for mastering these tools, so you can achieve reliable, actionable insights tailored to your business goals.
Data Modeling Overview
Schemas in Real-Time Customer Data Platform
Learn about Experience Data Model (XDM) schemas, their role in data ingestion, B2B workflows, and advanced segmentation.
Datasets and Data Quality
Understand dataset management, data validation, and quality processes within Adobe Real-Time Customer Data Platform.
Identities & Identity Namespaces
Discover how Identity Service unifies customer identities across systems using identity namespaces and identity graphs.