Data Mesh Adoption in Multi-Domain Analytics Environments

Published Paper PDF: https://ijrmeet.org/wp-content/uploads/2025/07/IJRMEET0725350043_Data%20Mesh%20Adoption%20in%20Multi-Domain%20Analytics%20Environments.pdf

DOI: https://doi.org/10.63345/ijrmeet.org.v13.i7.5

Raghav Agarwal

TCS

Greater Noida, UP, India

raghavagarwal4998@gmail.com

Abstract

The evolution of data architectures has culminated in the emergence of the Data Mesh paradigm, a decentralized approach to analytical data platforms that promotes federated ownership, domain-oriented data products, self-serve infrastructure, and federated governance. Traditional monolithic data lakes and warehouses increasingly struggle under the demands of scale, complexity, and organizational silos. Data Mesh addresses these challenges through organizational re-alignment and technical enablers that shift responsibility for data as a product back to domain teams. This manuscript investigates the adoption of Data Mesh in multi-domain analytics environments by examining theoretical foundations, surveying real-world implementations, and analyzing performance, governance, and cultural outcomes. A mixed-methods methodology—comprising a systematic literature review, multiple case studies, and quantitative analysis of key performance indicators (KPIs)—provides a comprehensive assessment of Data Mesh efficacy. Results demonstrate improvements in data quality, time-to-insight, and stakeholder satisfaction, alongside challenges related to interoperability, governance complexity, and required cultural transformation. The conclusion synthesizes findings and offers guidelines for successful adoption, while the scope and limitations section highlights areas for future research and acknowledges constraints within the current study.

Keywords

Data Mesh; Domain-Oriented Ownership; Data Products; Federated Governance; Self-Serve Data Platform

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