International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Volume 6 Issue 6
November-December 2024
Indexing Partners
Data Organization Patterns in Data Mesh: Optimizing Data Management for the Modern Enterprise
Author(s) | Anirudha Shekhar Karandikar |
---|---|
Country | United States |
Abstract | This article explores the implementation of Data Mesh principles through a structured layered approach to data organization, addressing the challenges of managing large-scale, diverse data ecosystems in modern enterprises. As global data creation surges towards 181 zettabytes by 2025, traditional centralized data architectures are proving inadequate. We propose a four-layer methodology—Raw, Work, Gold, and Publish—that aligns with Data Mesh philosophy while providing clear delineation of data processing stages. Through case studies across various industries, we demonstrate how this approach leads to significant improvements in data quality, time-to-insight, and incident resolution. A large financial institution achieved a 40% reduction in time-to-insight, while a global manufacturer reported a 30% improvement in data quality. The article also discusses the challenges of implementation, including cultural shifts and skill gaps. Our findings suggest that combining Data Mesh principles with a layered organizational structure can transform enterprise data landscapes, enhancing agility, cross-functional collaboration, and alignment of data assets with business objectives. This article contributes to the evolving field of decentralized data architectures and provides practical insights for organizations seeking to optimize their data management strategies in the face of exponential data growth. |
Keywords | Keywords: Data Mesh, Layered Data Architecture, Decentralized Data Management, Enterprise Data Strategy, Data Quality Improvement |
Field | Computer |
Published In | Volume 6, Issue 6, November-December 2024 |
Published On | 2024-11-05 |
Cite This | Data Organization Patterns in Data Mesh: Optimizing Data Management for the Modern Enterprise - Anirudha Shekhar Karandikar - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.29888 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i06.29888 |
Short DOI | https://doi.org/g8qfv6 |
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E-ISSN 2582-2160
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