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A data source is the origin of data consumed by systems: databases, files, sensors, applications or APIs that produce or expose data. It specifies format, semantics, update frequency and trust level, and is essential for integration, data quality and governance. Understanding data sources informs architecture, privacy and operational decisions.
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Theoretical construct: explains a term, principle, or mental model.
What you need to understand to reason about a domain.
A data source is an origin from which data is generated, collected, or provided, such as a sensor, system, file, or service.
The term belongs to data processing and was formalized through distributed systems, catalogs, and the web. The sources name no inventor.
Follow data from origin through interface and metadata to consumer. Structure, freshness, quality, and ownership remain traceable.
The topic has a specific mechanism and boundary that guide its use.
Its value depends on applying it to an observable problem and checking the result.
A source model supports integration, governance, lineage, and troubleshooting. A source alone guarantees neither quality nor lawful use.
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