Mitigating Data Loss in Big Data Cloud Architectures: Strategies for Secure and Reliable Access

Abstract

The rapid growth of Big Data and its integration with cloud architectures has revolutionized data storage, access, and processing. However, this shift has also amplified the risks associated with data loss and compromised access. Ensuring the security and reliability of data in cloud-based environments is critical for organizations seeking to manage massive datasets while maintaining operational continuity. This paper explores various strategies for mitigating data loss in Big Data cloud architectures, focusing on the implementation of secure access controls, redundancy mechanisms, predictive analytics, and blockchain technology. These approaches provide robust frameworks for preventing data breaches, enhancing data recovery processes, and ensuring reliable data access. By adopting these strategies, businesses can safeguard their data assets against emerging threats and ensure the resilience of their cloud infrastructures.