Simplifying Big Data Security: Kerberos, Sentry, and Ranger
Year: 2024
Type: article
Abstract: This comprehensive article explores the critical security challenges faced in Big Data environments, particularly within the Hadoop ecosystem. It delves into three essential security components: Kerberos for authentication, Sentry for fine-grained authorization, and Ranger for comprehensive security management. The article provides detailed insights into the functionalities, implementation strategies, and benefits of each tool, supported by industry statistics and expert recommendations. Additionally, it outlines five best practices for implementing Hadoop security, including a layered security approach, regular audits, the principle of least privilege, keeping systems updated, and education and training. Throughout, the article emphasizes the importance of robust security measures in protecting sensitive data, ensuring regulatory compliance, and mitigating the growing sophistication of cyber threats in the rapidly expanding field of Big Data.
Author: Researcher
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930487825
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