This comprehensive technical article explores best practices for implementing big data architectures in financial institutions using Cloudera’s enterprise data platform. It addresses the challenges faced by banking organizations in managing the explosion of data across transaction processing, customer interactions, and regulatory compliance. The article presents a structured methodology to big data implementation, focusing on four key areas: selecting and configuring appropriate Cloudera components, ensuring robust security and compliance in regulated environments, integrating AI to enhance predictive analytics, and optimizing real-time data processing pipelines. Drawing from multiple assessments and real-world implementations across global financial institutions, the article provides evidence-based recommendations for financial organizations embarking on their big data journey, helping them transform raw data into actionable intelligence while maintaining strict security and compliance requirements.
Keywords: AI predictive analytics, cloud era implementation, data security compliance, financial big data, real-time data processing
