Technical GlossaryData Engineering and AI Infrastructure

Data Warehouse

A structured, integrated, query-optimized data storage environment built for reporting, analytics, and decision support.

A data warehouse is a centralized platform where data is stored in a clean, consistent, and query-friendly form for analytical use. Unlike operational systems, the priority is not transactional speed, but analytical performance and historical integrity. A warehouse becomes the shared reference point for enterprise metrics. For that reason, a well-designed warehouse is not just a storage layer, but a trusted foundation for decision-making.

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Instrumentation Design

A design approach that defines which events and fields should be recorded, and how, in order to measure product, process, or system behavior correctly.

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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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ELT

A modern approach in which data is loaded into the target platform first, and transformations are performed later inside the storage or compute layer.

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Data Warehouse

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