Adobe Real-Time CDP Developer Expert key terms

Adobe's open standard for describing customer data as structured schemas, so that ingested records share a common vocabulary across sources and downstream Adobe applications.

A named, versioned structure built from classes and field groups that defines the shape of a dataset, including which fields are required and how they are typed.

The base component of a schema that determines its core behavior and required identity fields, such as the individual profile class or the experience event class.

A reusable bundle of field definitions that can be attached to multiple schemas to add a related set of attributes without redefining them each time.

A container that stores ingested records conforming to a single XDM schema, and the unit to which dataflows, identities, and profile enablement settings apply.

Loading data in bulk files, such as CSV or JSON, into a dataset, typically processed as a whole rather than record by record.

Sending individual records to a dataset in near real time through an HTTP streaming endpoint or source connector, so data becomes available continuously rather than in scheduled loads.

A prebuilt integration in the sources catalog that pulls or receives data from an external system such as cloud storage, a CRM, or an analytics platform into Adobe Experience Platform.

A configured pipeline that moves data from a source to a destination dataset, carrying its own schedule, mapping, transformation, and error handling settings.

The rules that translate source fields into target XDM fields during ingestion, including expressions, calculated fields, and type conversions applied along the way.

Adobe's mapping language and function set used inside a dataflow to reshape, filter, calculate, and validate records before they are written to a dataset.

A label that declares what kind of identifier a value represents, such as email, phone, CRM ID, or ECID, so the platform can compare and link identities of the same kind.

An XDM field structure that holds one or more namespaced identity values for a record, allowing a single event or profile to declare several identifiers at once.

The identity chosen as the main key for a profile within a dataset's identity settings, used when no other identifier is available to place the record.

The service-maintained network of linked identifiers that determines which records belong to the same person, updated as new identity values arrive.

The service that assembles ingested records into unified, queryable profiles keyed by identity, combining attributes and events for each customer.

A rule set that controls how records from different datasets are combined into one profile, including which datasets participate and how conflicts between attribute values are resolved.

A read-only, combined view of all schemas enabled for Profile, aggregating their fields so a profile can expose attributes contributed by any participating dataset.

The dataset setting that makes ingested records available to Real-Time Customer Profile and identity services, rather than keeping them only for query and export.

A saved definition that selects profiles meeting specified criteria, evaluated by the segmentation service and refreshed as underlying profile data changes.

The process of running a segment definition against profile data, either on a schedule, on demand, or continuously as streaming updates arrive.

Evaluating segment membership as individual records arrive, so profiles can enter or leave a segment within moments of a qualifying event.

Evaluating segment membership on a recurring schedule across the full profile population, suited to criteria that do not require immediate reaction.

A configured connection that sends segment membership or profile data out of the platform to an external system such as an ad network, email tool, or cloud storage location.

A running dataflow that delivers a selected segment to a destination, with its own schedule, attribute mapping, and export behavior.

The overall process of making a segment actionable by exporting its members and chosen attributes to a destination where they can be used for outreach or targeting.

A governance rule that records and enforces customer preferences, such as opt-in or opt-out for marketing, so data is only used in permitted ways.

A rule that labels data with permitted or restricted uses, such as no export to third parties, and is checked when data is activated or queried.

A tag applied to datasets or fields that declares contractual or regulatory restrictions, which policies then evaluate before allowing a use.

The automatic check that blocks or flags a data use, such as a destination activation, when it conflicts with an applicable usage or consent policy.

The tool that processes access and deletion requests for individual data subjects, coordinating removal or retrieval across connected Adobe applications.

The managed stages a record passes through from ingestion to archival or deletion, including retention limits and automated cleanup of expired data.

A dataset-level setting that automatically removes records after a defined retention period, supporting data minimization and storage hygiene.

A value that stands in for a person without directly revealing them, used to link records while limiting exposure of direct identifiers such as name or email.

A group of profiles selected for a purpose, typically realized as a segment whose membership is shared with destinations for targeting or analysis.

The combination of labels, policies, and enforcement mechanisms that controls how data may be used, shared, and retained across the platform.