Navigating Regulatory and Ethical Challenges in Data Lake Governance: A Comprehensive Review
Nurul Huda Ahmad
Department of Computer Engineering, Universiti Sains Malaysia, Minden, Penang, Malaysia
Ali Batan
Department of Computer Engineering, Universiti Sains Malaysia, Minden, Penang, Malaysia
Abstract
The rapid growth of data lakes as a crucial element in organizational data management has intensified the need for robust data governance frameworks to ensure data quality, security, and compliance with stringent regulations such as GDPR and CCPA. Implementing governance in data lakes poses unique challenges, given the unstructured nature of data, the integration of diverse data sources, and the complexities surrounding data lineage and privacy. Additionally, ethical concerns, including fairness, accountability, and transparency, further complicate governance practices. This paper critically examines the challenges and opportunities associated with data governance in data lakes, with a focus on regulatory and ethical considerations. It investigates difficulties related to regulatory compliance, data security, privacy maintenance, and ethical data use. The study also highlights opportunities for strengthening governance through advanced metadata management, data lineage tracking, and the application of machine learning and ethical AI principles. By addressing these challenges and capitalizing on these opportunities, organizations can establish robust governance frameworks that ensure regulatory compliance while fostering responsible, ethical data usage.
