Principles of Data Fabric: Become a data-driven organization by implementing Data Fabric solutions efficiently

Apply data fabric solutions to automate data integration, data sharing, and data protection across disparate data sources without moving your data

Purchase of the print or Kindle book includes a free PDF eBook

Key Features:

• Learn to design data fabric architecture effectively with your choice of tool
• Build and use a data fabric solution using DataOps and data mesh frameworks
• Find out how to build data integration, data governance, and self-service analytics architecture

Book Description:

Data can be found everywhere, from cloud environments and relational and non-relational databases to data lakes, data warehouses, and data lakehouses. Data management practices can be standardized across the cloud, on-premises, and edge devices with Data Fabric, a powerful architecture that creates a unified view of data. This book will enable you to design a Data Fabric solution by addressing all the key aspects that need to be considered.

The book begins by introducing you to Data Fabric architecture, why you need them, and how they relate to other strategic data management frameworks. You'll then quickly progress to grasping the principles of DataOps, an operational model for Data Fabric architecture. The next set of chapters will show you how to combine Data Fabric with DataOps and Data Mesh and how they work together by making the most out of it. After that, you'll discover how to design Data Integration, Data Governance, and Self-Service analytics architecture. The book ends with technical architecture to implement distributed data management and regulatory compliance, followed by industry best practices and principles.

By the end of this data book, you will have a clear understanding of what Data Fabric is and what the architecture looks like, along with the level of effort that goes into designing a Data Fabric solution.

What You Will Learn:

• Understand the core components of Data Fabric solutions
• Combine Data Fabric with Data Mesh and DataOps frameworks
• Implement distributed data management and regulatory compliance using Data Fabric
• Manage and enforce Data Governance with active metadata using Data Fabric
• Explore industry best practices for effectively implementing a Data Fabric solution

Who this book is for:

If you are a data engineer, data architect, or business analyst who wants to learn all about implementing data fabric architecture, then this is the book for you. This book will also benefit senior data professionals such as chief data officers looking to integrate data fabric architecture into the broader ecosystem.

應用數據織物解決方案，自動化跨不同數據來源的數據集成、數據共享和數據保護，而無需移動數據。

購買印刷版或Kindle電子書，即可免費獲得PDF電子書。

主要特點：
- 學習如何有效地使用選擇的工具設計數據織物架構
- 使用DataOps和數據網格框架構建和使用數據織物解決方案
- 了解如何構建數據集成、數據治理和自助分析架構

書籍描述：
數據無處不在，從雲環境和關聯和非關聯數據庫到數據湖、數據倉庫和數據湖倉庫。使用數據織物，可以在雲端、本地和邊緣設備上標準化數據管理實踐，創建統一的數據視圖。本書將幫助您通過考慮所有需要考慮的關鍵方面來設計數據織物解決方案。

本書首先介紹數據織物架構，解釋為什麼需要它們以及它們如何與其他戰略數據管理框架相關。然後，您將迅速掌握DataOps的原則，這是一種數據織物架構的操作模型。接下來的一系列章節將向您展示如何將數據織物與DataOps和數據網格結合起來，以及它們如何通過充分利用它們一起工作。之後，您將了解如何設計數據集成、數據治理和自助分析架構。本書以實施分散數據管理和合規性的技術架構結束，並提供行業最佳實踐和原則。

通過閱讀本書，您將清楚了解數據織物是什麼，架構是什麼樣子，以及設計數據織物解決方案所需的努力程度。

學到的內容：
- 了解數據織物解決方案的核心組件
- 將數據織物與數據網格和DataOps框架結合
- 使用數據織物實施分散數據管理和合規性
- 使用數據織物管理和執行數據治理
- 探索有效實施數據織物解決方案的行業最佳實踐

本書適合數據工程師、數據架構師或業務分析師，他們想要全面了解實施數據織物架構。本書還將對高級數據專業人士（如首席數據官）有所裨益，他們希望將數據織物架構整合到更廣泛的生態系統中。