Cloud-Native Data Governance using Microsoft Purview and Azure Synapse

Authors: Shailaja Beeram

DOI: https://doi.org/10.37082/IJIRMPS.v14.i2.233071

Short DOI: https://doi.org/hb27sk

Country: United States

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Abstract: As data becomes the foundation of modern business operations, organizations face growing challenges in managing compliance, privacy, and trust at scale. Traditional data governance models are no longer sufficient for cloud-native and hybrid environments. Microsoft Purview, integrated with Azure Synapse Analytics, provides a unified, intelligent framework for automated data discovery, classification, lineage tracking, and policy enforcement across multi-cloud ecosystems. This paper explores the architecture, automation strategies, and AI-driven capabilities of Microsoft Purview and Synapse for cloud-native data governance. Through analytical evaluation and use case modeling, it demonstrates how automation and metadata intelligence enable organizations to achieve compliance, operational efficiency, and data democratization simultaneously.

Keywords: Microsoft Purview, Azure Synapse Analytics, data governance, metadata management, data lineage, data classification, compliance automation, Azure Policy, AI in data management, cloud-native governance, regulatory compliance, data trust.

Paper Id: 233071

Published On: 2026-04-28

Published In: Volume 14, Issue 2, March-April 2026

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