External input
External input is information or data originating outside the system, component, or context that consumes or processes it.
First-Party Data Activation
Customer or market data collected by an external entity without a direct relationship between the customer and the organization using it.
- How it is used
- Positions externally collected data as a cautious supplement for market context, reach, targeting, and enrichment rather than a first-party foundation.
- How deep it goes
- Defines the data type, compares its trade-offs, and gives purchasing checks without detailing technical integration.
- Examples
- Uses headphone ads after a search, shared-device profile errors, purchased marketing lists, and provider-selection criteria.
- What you can do after
- Evaluate/understand it by weighing added reach against data quality, matching, licensing, compliance, and customer trust.
Read how First-Party Data Activation explains external input →
Apache Kafka in Action
Data on the outside is service-external data structured for exchange across service boundaries and independent of any one service's internal model.
- How it is used
- Supports service-to-service exchange through a service-agnostic data model.
- How deep it goes
- Defines coupling, immutability, and model independence, but does not specify a concrete schema or implementation.
- Examples
- Illustrates independent internal-model changes, service-boundary data exchange, and retained historical messages.
- What you can do after
- Evaluate service boundaries and choose decoupled exchange patterns alongside tightly coupled internal storage.
Related concepts
- retrieval-augmented generationused by · Retrieval-augmented generation is a technique that retrieves relevant information from external sources and supplies it as context to a generative model when producing an output.
- first-party datauses · Data collected directly by an organization from its customers’ interactions with the organization across digital and physical touch points.
- data ecosystempart of · A data ecosystem is an interconnected set of people, organizations, processes, systems, technologies, and data sources involved in producing, managing, analyzing, exchanging, and consuming data.
- digital twinuses · A digital twin is a computational representation of a physical entity, process, or system that models relevant characteristics, state, or behavior.
- MCPaddressed by · The Model Context Protocol is an open standard protocol that defines how AI applications connect with external tools, data sources, and other contextual resources.
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