Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric 2/e

As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization.

Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed.

• Examine data management trends, including regulatory requirements, privacy concerns, and new developments such as data mesh and data fabric
• Go deep into building a modern data architecture, including cloud data landing zones, domain-driven design, data product design, and more
• Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata

隨著數據管理的快速演進，將所有數據集中管理在一個地方，例如數據倉庫，已不再具有可擴展性。如今的世界是關於快速將數據轉化為價值。這需要我們在聯邦責任、數據管理和對他人提供數據的方式上進行範式轉移。通過這本實用書，您將學習如何設計一個符合組織需求的下一代數據架構。

執行人員、架構師和工程師、分析團隊以及合規和治理人員將學習如何構建下一代數據景觀。作者Piethein Strengholt提供了藍圖、原則、觀察、最佳實踐和模式，以幫助您快速上手。

- 深入研究數據管理趨勢，包括法規要求、隱私問題以及數據網格和數據織布等新發展
- 深入探討構建現代數據架構，包括雲數據著陸區、面向域的設計、數據產品設計等
- 探索數據治理和數據安全、主數據管理、自助數據市場以及元數據的重要性