The Cloud Data Lake : A Guide to Building Robust Cloud Data Architecture (Second Early Release)
by Rukmani Gopalan
English | 2022 | ISBN: 1098116585 | 116 Pages | ePUB/PDF(conv) | 8.1 MB
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, product management leader at Microsoft, 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
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