Data contracts in the wild: An approach for redefining trust and accountability in modern data pipelines

Data contracts represent a transformative mechanism for redefining trust and accountability within distributed data ecosystems. As organizations face increasing challenges with data quality, ownership, and clarity across teams, data contracts emerge as a structured solution drawing inspiration from software engineering principles. These explicit agreements between producers and consumers specify schema, semantics, service level agreements, and behavioral expectations of data assets. By formalizing these relationships, organizations can mitigate schema drift, improve observability, and foster a culture of shared responsibility. Data contracts enable self-service platforms, support decentralized data ownership models like Data Mesh, and facilitate regulatory compliance. The operationalization of data contracts provides a blueprint for building resilient, transparent, and high-trust data pipelines essential for scaling analytics and Artificial Intelligence in complex, multi-team environments.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2025-06-07
DOI
https://doi.org/10.30574/wjarr.2025.26.3.2166
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.00
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article

Data contracts in the wild: An approach for redefining trust and accountability in modern data pipelines

Prudhvi Raj Atluri
World Journal of Advanced Research and Reviews
Privacy-Preserving Technologies in Data
article

Data contracts in the wild: An approach for redefining trust and accountability in modern data pipelines

Prudhvi Raj Atluri
article en

Abstract

Data contracts represent a transformative mechanism for redefining trust and accountability within distributed data ecosystems. As organizations face increasing challenges with data quality, ownership, and clarity across teams, data contracts emerge as a structured solution drawing inspiration from software engineering principles. These explicit agreements between producers and consumers specify schema, semantics, service level agreements, and behavioral expectations of data assets. By formalizing these relationships, organizations can mitigate schema drift, improve observability, and foster a culture of shared responsibility. Data contracts enable self-service platforms, support decentralized data ownership models like Data Mesh, and facilitate regulatory compliance. The operationalization of data contracts provides a blueprint for building resilient, transparent, and high-trust data pipelines essential for scaling analytics and Artificial Intelligence in complex, multi-team environments.

World Journal of Advanced Research and ReviewsVol. 26(3)
Openalex Percentile: Top 94%
Privacy-Preserving Technologies in Data
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Data contracts in the wild: An approach for redefining trust and accountability in modern data pipelines — Prudhvi Raj Atluri · World Journal of Advanced Research and Reviews (2025) | TGRS Research Map | TGRS