Cloud Data Lake

A Guide to Building Robust Cloud Data Architecture (Grayscale Indian Edition) (Paperback)

Author: Rukmani Gopalan

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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 a seasoned product management leader at Microsoft. In addition to developing highly scalable services and delightful end-to-end customer experiences, she has worked with various customers across different industries, including retail, manufacturing, and healthcare, to build their big data analytics solutions on the cloud. Rukmani has also worked on various efforts to architect highly scalable data lake architectures on the cloud, when migrating from monolithic on-premise data platforms. She currently lives in Redmond, WA with her husband and two kids. --This text refers to the paperback edition.
Rukmani Gopalan
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