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

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.

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Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2024-11-30
DOI
https://doi.org/10.30574/wjarr.2024.24.2.3279
Citations
2
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.69
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article

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

Nidhi Shashikumar
2 citations
World Journal of Advanced Research and Reviews
Privacy-Preserving Technologies in Data
0.69
article

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

Nidhi Shashikumar
article en
2 citations

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. 24(2)
California State University, Northridge (US)
Openalex Percentile: Top 22%
Privacy-Preserving Technologies in Data
0.69
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