The Cloud Data Lake: A Guide to Building Robust Cloud Data Architecture (1)

By: Rukmani Gopalan

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Synopsis: More organizations than ever understand the importance of data lake architectures for deriving value from their data. Building a robust, scalable, and performant data lake remains a complex proposition, however, with a buffet of tools and options that need to work together to provide a seamless end-to-end pipeline from data to insights.This book provides a concise yet comprehensive overview on 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 organizationGet guidance and best practices for designing performant and scalable data lakesExamine architecture and design choices, and data governance principles and strategiesBuild a data strategy that scales as your organizational and business needs increaseImplement a scalable data lake in the cloudUse cloud-based advanced analytics to gain more value from your data