Technical GlossaryData Engineering and AI Infrastructure

Stream Windowing

An approach that groups continuous data streams into defined time or event intervals for computation.

Stream windowing is used to produce metrics such as counts, sums, averages, and rates over an otherwise unbounded data stream. Common models include tumbling windows, sliding windows, and session windows. Poor window design can hide meaningful signals or create misleading event groupings. For that reason, windowing is one of the core logic layers of stream-processing design.

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Streaming Data Collection

An approach for ingesting continuously generated data in real time or near real time.

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Change Data Capture

An approach for tracking data changes in source systems and propagating them to downstream systems in near real time.

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ETL

A classic data integration approach in which data is extracted from source systems, transformed, and then loaded into a target analytical environment.

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Stream Windowing

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