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Data Governance in the Era of Big Data: Challenges and Solutions

Authors: Farzana Yaqoob;

Data Governance in the Era of Big Data: Challenges and Solutions

Abstract

The era of Big Data has ushered in a wealth of opportunities and challenges for organizations across various industries. As data continues to grow exponentially, effective data governance has become paramount to ensure data quality, security, and compliance. This paper explores the challenges posed by Big Data in the context of data governance and presents innovative solutions to address these challenges. Key topics covered include data volume, velocity, variety, and veracity, as well as the need for a holistic data governance framework. By examining real-world case studies and industry best practices, this paper aims to provide valuable insights for organizations striving to navigate the complex landscape of Big Data while maintaining data integrity and regulatory compliance.

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Keywords

Big Data, Data Governance, Data Quality, Data Security, Compliance, Data Volume, Data Velocity, Data Variety, Data Veracity, Holistic Data Governance, Case Studies

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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