Designing Intelligent Data Fabric Architectures for AI-Powered Multi-Cloud Environments
Tentang buku audio ini
The rapid evolution of artificial intelligence (AI) and cloud computing has created an exciting yet challenging landscape for organizations. Today, businesses are inundated with vast amounts of data, requiring advanced technologies to process, analyze, and extract valuable insights at a scale and speed that was once unimaginable. At the same time, the growing adoption of multi-cloud strategies offers unparalleled flexibility, enabling organizations to leverage the best services from leading cloud providers like AWS, Azure, Google Cloud, and private data centers. While this provides tremendous opportunities, it also introduces significant complexities in managing and integrating data across disparate environments.
This book, Designing Intelligent Data Fabric Architectures for AI-Powered Multi-Cloud Environments, is written to help organizations navigate these complexities and design data architectures that deliver robust, scalable, and intelligent systems. We address how to architect multi-cloud ecosystems that are not only performant but also secure, compliant, and capable of supporting AI-driven intelligence. This work aims to demystify the challenges of multi-cloud integration and provide actionable insights for building data fabrics that span across diverse platforms.
Here’s what you can expect from this book:
Foundational Principles (Chapters 1–4): We start by examining the key building blocks of data ecosystems, including unified ingestion patterns, scalable lake house storage, and governance frameworks that form the backbone of intelligent architectures.
Operational Excellence (Chapters 5–7): Learn how to implement robust governance, security, compliance, and orchestration techniques that ensure smooth and scalable operations in multi-cloud environments.
Advanced AI Workflows (Chapters 8–10): Delve into the intricacies of multi-cloud AI model training, hyperparameter tuning, distributed checkpointing, and observability designed specifically for AI-driven workflows.
Integration Patterns (Chapter 9): Explore integration strategies for building feature stores and knowledge graphs that enable consistent, explainable AI models across multiple environments.
MLOps & DevOps Practices (Chapters 11–12): Understand the principles of continuous integration/continuous delivery (CI/CD), containerization, policy-as-code, and collaborative models essential for seamless deployment in multi-cloud environments.
Thank you for choosing to explore this important topic. We hope the insights shared in these chapters will serve as a guide as you design and implement intelligent, scalable, and secure AI-powered data fabric architectures that empower your organization to unlock the full potential of AI.
Rating dan ulasan
Tentang pengarang
Niharika Singh is an innovation and knowledge creation driven researcher with an abiding passion for building secure, scalable, and ethical digital ecosystems. She is unwavering about addressing the problems of the real-world through research work in artificial intelligence, optimization, and robust infrastructures.
With a background in Computer Science and Data Science, she is an author and co-author of a variety of IEEE-indexed conference papers and journal articles. Her research spans a variety of themes such as AI-based optimization, voting systems using blockchain, cloud robustness, and business process automation. Apart from publications, she was an active contributor and participant in research and industry projects pertaining to patenting, publication handling, and collaborative work and gained priceless experience in both research operations and academic publication.
Niharika is positioned at the crossroads of future technologies and applied research, intent on blending innovation with responsibility. In her career, she is eager to drive smart systems into higher security, trustworthiness, and sustainability in next-gen infrastructures.
Dr. Subodh Sachan is an accomplished logistics leader with nearly three decades of experience in global freight forwarding, customs operations, and integrated supply chain management. As the CEO of Masters Logistics Solutions India Pvt. Ltd. (MLSIPL), he has transformed the company from a promising startup in 2014 into a nationally recognized logistics powerhouse, trusted by leading international brands. His leadership blends innovation, empathy, and strategic resilience—qualities that have earned him immense respect across the logistics community.
Known for his mentorship and people-centric approach, Dr. Sachan is celebrated for fostering transparency, corporate governance, and sustainability within MLSIPL. He has championed digital transformation initiatives, environmentally responsible practices, and operational excellence across all business functions. Under his guidance, MLSIPL has earned multiple prestigious awards, including the India Cargo Awards, ET Leadership Excellence Award, CII SCALE National Award, and Cargo NXT Award. Dr. Sachan continues to lead with vision, integrity, and a commitment to shaping future-ready logistics ecosystems.
Dr. K Yogesh is a renowned educationist with a strong academic foundation, holding an M.Com, M.A. in Economics, M.A. in Education, and a PhD in Commerce. He is UGC NET-qualified in both Commerce and Education. Dr. Yogesh serves as the Chairman of Socrates Social Research University and NASA Trust in New Delhi, where he drives significant contributions in educational leadership and research. As the Founder of Gyan Sagar Education Society, he has been instrumental in shaping educational initiatives. Dr. Yogesh is also a prominent member of various distinguished organizations such as Vishva Yuvak Kendra, International Youth Hostel, Scindia Club of India, Lion's Club of India, and IMC Chamber of Commerce and Industry. He has authored 12 books, sharing his expertise across multiple fields.
Prof. Dr. Punit Goel is an academician and accomplished research mentor with over 32 years of rich experience in teaching, research, and academic leadership. Currently serving as a Professor and Editor-in-Chief of MIJCATR at Maharaja Agrasen Himalayan Garhwal University, he plays a pivotal role in guiding research excellence. He holds a Ph.D. from Gurukula Kangri Vishwavidyalaya, where he conducted doctoral research on Performance Management Systems in IT companies. Prof. Goel has an impressive academic portfolio, having authored 35 books and published over 200 research papers in reputed Scopus, IEEE, and other peer-reviewed journals. His expertise spans across interdisciplinary domains, and he is currently supervising eight Ph.D. scholars, with two already awarded under his guidance. He is actively engaged in the editorial boards of more than 10 international journals, contributing to the global research ecosystem. A recognized innovator, Prof. Goel holds more than 30 patents and frequently serves as a resource person in conferences, workshops, and seminars. Based in Ghaziabad, Uttar Pradesh, he is deeply committed to nurturing research scholars and guiding them through the processes of thesis writing, publishing, and academic book development, making him a trusted mentor in the academic community.
