Technical GlossaryData Engineering and AI Infrastructure

Late Data Reconciliation

A correction process that brings late-arriving data into alignment with previously produced batch outputs.

Late data reconciliation is a critical corrective practice for preserving historical correctness in batch systems. If delayed records affect past summaries, KPIs, or reports, those outputs must be updated in a controlled way. Without this process, the data platform may remain silently wrong in retrospect. Reconciliation is the discipline of managing delayed correctness in data engineering.

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Reconciliation Control

The process of verifying alignment of records, totals, and business logic across different data systems or layers.

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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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Late Data Reconciliation

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