Cloud Computing and Data Lake Architecture for Reserve Management

Modern reserve management requires a robust, scalable, and secure data infrastructure to handle the growing volume of market, macroeconomic, and alternative data, and to support the computational demands of advanced analytics like Machine Learning. This course is a comprehensive guide to leveraging **Cloud Computing** and implementing a **Data Lake Architecture** specifically tailored to the unique security, compliance, and performance needs of official sector institutions. Participants will learn the strategic, technical, and governance aspects of moving investment and risk platforms to the cloud, including vendor selection, cost optimization, and ensuring regulatory compliance (e.g., data sovereignty, security protocols). The program emphasizes how a modern, flexible data architecture can unlock the full potential of advanced analytics, enabling real-time risk monitoring, dynamic portfolio optimization, and efficient data sharing across departments. We will cover key components like data ingestion, storage, processing, and security best practices on major cloud platforms.