Learning-Driven Data Fabrics for Sustainability by Prithi Samuel(.PDF)
File Size: 38.8 MB
Learning-Driven Data Fabrics for Sustainability: Cloud-to-Thing Continuum Solutions for Global Challenges by Prithi Samuel, Daniel Arockiam, Balamurugan Balusamy, Liza Macasukit Gernal, Chander Prabha
Requirements: .ePUB, .PDF reader, 38.8 MB | True PDF, True EPUB
Overview: This book explores the distinct problems, trends, and future trajectories for constructing cohesive, sustainable data infrastructures that correspond with the United Nations Sustainable Development Goals (SDGs). In the contemporary digital ecosystem, the amalgamation of data across diverse platforms and environments—from cloud to edge to IoT—has become imperative for fostering creativity, sustainability, and efficiency. This book illustrates how learning-driven data architectures are revolutionizing businesses and tackling global challenges through real-world case studies and upcoming trends. Subjects encompass edge computing, real-time data analytics, safe data transmission, and the reduction of carbon footprints via effective data processing. This study examines how data fabrics might alleviate the risks associated with cyberattacks and data breaches, while ensuring regulatory compliance and fostering sustainable, ethical AI operations. This book offers a detailed framework for utilizing data fabric technologies to create sustainable, safe, and intelligent cloud-to-thing ecosystems, regardless of whether you are a data scientist, IoT specialist, cloud architect, or policymaker. This book promotes data-driven decision-making throughout the infrastructure, enabling organizations to design scalable and sustainable solutions that advance global development objectives.
Genre: Non-Fiction > Tech & Devices
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