Leveraging Azure for Data Governance: Building Scalable Frameworks for Data Integrity

Gokul Subramanian¹, Ashvini Byri², Om GoeL³, Sivaprasad Nadukuru⁴, Prof.(Dr.) Arpit Jain⁵ & Niharika Singh⁶

¹Pune University, Pune India, gokul.eb1visa@gmail.com

²University of Southern California, USA , ashvinieb1@gmail.com

³ABES Engineering College Ghaziabad, omgoeldec2@gmail.com

⁴Andhra University, Muniswara Layout, Attur, Yelahanka, Bangalore-560064, sivaprasad.nadukuru@gmail.com

⁵KL University, Vijaywada, Andhra Pradesh, dr.jainarpit@gmail.com

⁶ABES Engineering College Ghaziabad, niharika250104@gmail.com

Abstract

In an era where data is a strategic asset, the importance of effective data governance cannot be overstated. This study explores the integration of Azure cloud services to build scalable frameworks for ensuring data integrity within organizations. By leveraging Azure’s comprehensive suite of tools, including Azure Data Lake, Azure Synapse Analytics, and Azure Purview, organizations can create robust data governance strategies that enhance data quality, security, and compliance.

This paper outlines a systematic approach to establishing data governance frameworks that facilitate seamless data management across disparate systems. We analyze key components such as data cataloging, lineage tracking, and access control, which are essential for maintaining data integrity. Furthermore, we emphasize the role of automation and machine learning in monitoring data quality and identifying anomalies in real time.

Through case studies and practical implementations, we demonstrate how organizations can utilize Azure’s scalability to adapt their data governance strategies as data volumes grow. The findings indicate that adopting Azure for data governance not only streamlines data management processes but also fosters a culture of accountability and transparency in data usage.

Ultimately, this research aims to provide organizations with a comprehensive roadmap for leveraging Azure to establish effective data governance frameworks, ensuring data integrity while navigating the complexities of the modern data landscape.

Keywords

Data governance, Azure, data integrity, scalable frameworks, Azure Data Lake, Azure Synapse Analytics, Azure Purview, data management, data quality, compliance, automation, machine learning, data cataloging, lineage tracking, access control.

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