Technical GlossaryData Engineering and AI Infrastructure

Lakehouse

A modern architectural approach that combines the flexibility of data lakes with the manageability and performance characteristics of warehouses.

The lakehouse approach aims to soften the traditional divide between the data lake and the data warehouse. It preserves raw-data flexibility while adding stronger data-management capabilities such as table versioning, ACID transactions, and analytical performance. This architecture is particularly attractive for organizations that want to run data engineering, analytics, and AI workloads on a unified platform. The lakehouse represents the converged direction of modern data platform design.

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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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Lakehouse

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