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

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

越來越多的組織意識到從數據中獲取價值的重要性，因此對於數據湖架構的建立有了更高的需求。然而，建立一個強大、可擴展且高效的數據湖仍然是一個複雜的任務，需要各種工具和選項協同工作，以實現從數據到洞察的無縫端到端流程。本書提供了一個簡潔而全面的概述，介紹了雲數據湖的設置、管理和治理。作者Rukmani Gopalan是微軟的產品管理領導者，他指導數據架構師和工程師們如何處理雲數據湖的主要方面，包括設計考慮和最佳實踐、數據格式優化、性能優化、成本管理和治理。本書的內容包括： - 了解組織採用基於雲的大數據策略的好處 - 獲得設計高性能和可擴展數據湖的指導和最佳實踐 - 檢視架構和設計選擇，以及數據治理原則和策略 - 構建一個能夠隨著組織和業務需求增長的數據策略 - 在雲端實施可擴展的數據湖 - 利用基於雲的高級分析從數據中獲取更多價值

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.

Rukmani Gopalan是微軟的經驗豐富的產品管理領導者。除了開發高度可擴展的服務和令人愉悅的端到端客戶體驗外，她還與不同行業的各種客戶合作，包括零售、製造和醫療保健，以在雲端上建立他們的大數據分析解決方案。當從單一的本地數據平台遷移到雲端時，Rukmani還參與了設計高度可擴展的數據湖架構的各種努力。她目前與丈夫和兩個孩子居住在華盛頓州雷德蒙德。