What is an example of data unification within Appian's Data Fabric?

• A. Record IDs
• B. Record Schemas
• C. Record Types
• D. Data Mappings

Answer: (D)

Data unification in Appian's Data Fabric is achieved through Data Mappings that align fields from different data sources into a single, common model. A mapping defines how each source’s fields correspond to the unified structure and can include simple transformations or type conversions so the data can be consumed cohesively across the platform.

For example, you might have customer data in Salesforce with fields like AccountId, AccountName, and BillingStreet, and customer data in an ERP system with CustomerNo, CustomerName, and AddressLine1. A Data Mapping would map AccountId to CustomerId, AccountName to Name, and BillingStreet to Address, while also mapping ERP’s CustomerNo to the same CustomerId, CustomerName to Name, and AddressLine1 to Address. This creates a unified Customer view that can be queried and used consistently across apps, reports, and processes.

Record Types and Record Schemas define how data is modeled and presented inside Appian, but they’re not the mechanism that unifies data from multiple sources. Data IDs are identifiers, not the unification mechanism.