More than ever, organizations understand the importance of cloud data lake architectures for deriving value from their data. But building a robust, scalable, and performant data lake remains a complex proposition, given the large buffet of tools and options that need to work together to provide a seamless end-to-end pipeline from data to insights. This practical book delivers a concise yet comprehensive overview of the setup, management, and governance of a cloud data lake. Author Rukmani Gopalan, a product management leader and data enthusiast, guides data architects and engineers through the major aspects of working with a cloud data lake, from design considerations and best practices to data format optimizations, performance optimization, cost management, and governance. Learn the benefits of a cloud-based big data strategy for your organization, Get guidance and best practices for designing performant and scalable data lakes, Examine architecture and design choices and data governance principles and strategies, Build a data strategy that scales as your organizational and business needs increase, Implement a scalable data lake in the cloud, Use cloud-based advanced analytics to gain more value from your data