Data Engineering Architectures for Generative AI Systems: An Industry-Oriented Review

This paper presents an industry-oriented review of data engineering architectures for Generative AI systems, with a focus on scalable pipelines, retrieval-augmented generation, governance, and operational considerations.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-17
DOI
https://doi.org/10.5281/zenodo.17960904
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Data Engineering Architectures for Generative AI Systems: An Industry-Oriented Review

Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

Data Engineering Architectures for Generative AI Systems: An Industry-Oriented Review

article en

Abstract

This paper presents an industry-oriented review of data engineering architectures for Generative AI systems, with a focus on scalable pipelines, retrieval-augmented generation, governance, and operational considerations.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 17%
Scientific Computing and Data Management
DOIOpen Access PDFOpenAlex
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Data Engineering Architectures for Generative AI Systems: An Industry-Oriented Review · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS