Mr. Arun Pandiyan Perumal

Architecting Secure Cloud Infrastructures for Optimizing Cloud Data Analytics Workloads

Abstract:

In the era of data-driven decision-making, architecting secure cloud infrastructures is critical to ensuring the integrity, confidentiality, and availability of data analytics workloads. This presentation explores strategies and best practices for designing resilient, compliant, and performance-optimized cloud architectures tailored for data analytics operations. Key focus areas include multi-layered security controls, data encryption standards, access management, and compliance frameworks integrated with cloud-native services for scalable and efficient data processing. Attendees will gain insights into implementing secure data pipelines, leveraging infrastructure as code (IaC) for consistent security enforcement, and adopting zero-trust security principles in cloud environments. The session will further cover performance optimization techniques, such as workload isolation, resource scaling, and efficient data storage strategies to minimize latency and maximize throughput.