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Full Description
Understand modern data fabric and data mesh concepts using AI-based self-service data discovery and delivery capabilities, a range of intelligent data integration styles, and automated unified data governance—all designed to deliver "data as a product" within hybrid cloud landscapes.
This book teaches you how to successfully deploy state-of-the-art data mesh solutions and gain a comprehensive overview on how a data fabric architecture uses artificial intelligence (AI) and machine learning (ML) for automated metadata management and self-service data discovery and consumption. You will learn how data fabric and data mesh relate to other concepts such as data DataOps, MLOps, AIDevOps, and more. Many examples are included to demonstrate how to modernize the consumption of data to enable a shopping-for-data (data as a product) experience.
By the end of this book, you will understand the data fabric concept and architecture as it relates to themes such as automated unifieddata governance and compliance, enterprise information architecture, AI and hybrid cloud landscapes, and intelligent cataloging and metadata management.
What You Will Learn
Discover best practices and methods to successfully implement a data fabric architecture and data mesh solution
Understand key data fabric capabilities, e.g., self-service data discovery, intelligent data integration techniques, intelligent cataloging and metadata management, and trustworthy AI
Recognize the importance of data fabric to accelerate digital transformation and democratize data access
Dive into important data fabric topics, addressing current data fabric challenges
Conceive data fabric and data mesh concepts holistically within an enterprise context
Become acquainted with the business benefits of data fabric and data mesh
Who This Book Is For
Anyone who is interested in deploying modern data fabric architectures and data mesh solutions within an enterprise, including IT and business leaders, data governance and data office professionals, data stewards and engineers, data scientists, and information and data architects. Readers should have a basic understanding of enterprise information architecture.
Contents
Part I - Data Fabric Foundation.- Chapter 1: Evolution of Data Architecture.- Chapter 2: Terminology - Data Fabric and Data Mesh.- Chapter 3: Data Fabric and Data Mesh Use Case Scenarios.- Chapter 4: Data Fabric and Data Mesh Business Benefits.- Part II - Key Data Fabric Capabilities and Concepts.- Chapter 5: Key Data Fabric and Data Mesh Capabilities.- Chapter 6: Relevant AI and ML Concepts.- Chapter 7: AI/ML for a Data Fabric and Data Mesh.- Chapter 8: AI for Entity Resolution.- Chapter 9: Data Fabric and Data Mesh for the AI Lifecycle.- Part III - Deploying Data Fabric Solutions in Context.- Chapter 10: Data Fabric Architecture Patterns.- Chapter 11: Role of Data Fabric within an Enterprise Architecture.- Chapter 12: Data Fabric and Data Mesh in Hybrid Cloud Landscape.- Chapter 13: Intelligent Cataloging and Metadata Management.- Chapter 14: Automated Data Fabric and Data Mesh Aspects.- Chapter 15: Data Governance in the Context of Data Fabric and Data Mesh.- Part IV - Current Offerings and Future Aspects.- Chapter 16: Sample Vendor Offerings.- Chapter 17: Data Fabric and Data Mesh Research Areas.- Chapter 18: In Summary and Onwards.- Abbreviations.
