The Cloud Data Lake : A Guide to Building Robust Cloud Data Architecture

Rukmani Gopalan

ISBN 10: 1098116585 / ISBN 13: 9781098116583

Published by O'reilly Media Jan 2023, 2023

About this Item

Neuware - 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.

Seller Inventory # 9781098116583

Bibliographic Details

• Title: The Cloud Data Lake : A Guide to Building Robust Cloud Data Architecture
• Publisher: O'reilly Media Jan 2023
• Publication Date: 2023
• Language: English
• ISBN 10: 1098116585
• ISBN 13: 9781098116583
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 231W x 175H x 15D millimeters 231 millimeters width by 175 millimeters height by 15 millimeters depth
• Weight: 431 grams

About this title

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 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.