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 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

About the Author

Rukmani Gopalan is Product Management leader who has worked on data infrastructure and platforms at Microsoft and other startups. Her goal is to educate data architects and data developers on the various aspects of building cloud data lake platforms. She believes that building a strong conceptual understanding of big data processing on the cloud leads to robust implementation of the data platform, thereby yielding transformational insights for the organization. She lives in Redmond, WA and enjoys exploring the Pacific Northwest, one conversation and a cup of coffee at a time.

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