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