Change Data Capture-Hybrid Horizon Model

As data volumes scale to petabytes, traditional Change Data Capture (CDC) becomes an operational bottleneck. The "Historical Burden"—re-scanning and re-processing years of static data—drives up cloud compute costs without adding incremental value. Hybrid Horizon CDC (HH-CDC) is an architectural pattern designed to decouple active change tracking from historical archives, reducing compute overhead by up to 70%.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-02
DOI
https://doi.org/10.5281/zenodo.18461974
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
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article

Change Data Capture-Hybrid Horizon Model

Abdalla khiralla
Zenodo (CERN European Organization for Nuclear Research)
Data Quality and Management
article

Change Data Capture-Hybrid Horizon Model

Abdalla khiralla
article en

Abstract

As data volumes scale to petabytes, traditional Change Data Capture (CDC) becomes an operational bottleneck. The "Historical Burden"—re-scanning and re-processing years of static data—drives up cloud compute costs without adding incremental value. Hybrid Horizon CDC (HH-CDC) is an architectural pattern designed to decouple active change tracking from historical archives, reducing compute overhead by up to 70%.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 73%
Data Quality and Management
DOIOpen Access PDFOpenAlex
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