Data Fabric and Data Mesh Approaches with AI – Apress (2023)
English | Tutorial | Size: 9.37 MB
Embark on a journey to explore modern data fabric and data mesh concepts enhanced by AI and ML to revolutionize data discovery, delivery, integration, and governance within hybrid cloud landscapes. This guide details the deployment of cutting-edge data mesh solutions and the architecture of data fabric utilizing AI for automated metadata management, self-service data discovery, and consumption. Learn about the interconnectedness with DataOps, MLOps, and AIDevOps, complemented by examples demonstrating how to modernize data consumption for a “shopping-for-data” experience. By the end of this book, you’ll grasp the comprehensive view of data fabric and data mesh architecture, their relevance to automated unified data governance, AI, and intelligent cataloging, positioning you to accelerate digital transformation and democratize data access across enterprises.
What You Will Learn
Implement a data fabric architecture and data mesh solution with best practices and methodologies.
Leverage key data fabric capabilities like self-service data discovery, intelligent data integration, and AI-driven cataloging and metadata management.
Understand the critical role of data fabric in digital transformation and data democratization.
Navigate through data fabric challenges and conceptualize data fabric and data mesh within an enterprise context.
Realize the business advantages of deploying data fabric and data mesh architectures.
Who This Book Is For
Targeted at IT and business leaders, data governance professionals, data stewards and engineers, data scientists, and information architects aiming to deploy contemporary data fabric architectures and data mesh solutions. A foundational understanding of enterprise information architecture is beneficial for readers.
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