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Integrating GRC into data engineering and analytics: A technical implementation guide

Mahendra Pudi

2025 · DOI: 10.30574/ijsra.2025.14.1.0050
International Journal of Science and Research Archive · 1 Citations

TLDR

In-depth insights are provided into critical GRC components, including risk management architectures, data governance frameworks, and compliance strategies, including risk management architectures, data governance frameworks, and compliance strategies.

Abstract

This article examines the integration of Governance, Risk, and Compliance (GRC) principles within data engineering and analytics domains. In the contemporary data-driven environment, organizations encounter the significant challenge of leveraging data for innovation while simultaneously adhering to complex regulatory requirements. This article provides in-depth insights into critical GRC components, including risk management architectures, data governance frameworks, and compliance strategies. It emphasizes best practices for the successful implementation, monitoring, and scalability of these principles in various business contexts. Through this exploration, professionals will gain a deeper understanding of how to effectively align GRC practices with organizational objectives.