Edge Databases : Principles and Practices

"Edge Databases" is a comprehensive, practical, and accessible guide to the world of data management at the network's edge. The book navigates the paradigm shift from centralized cloud data storage to decentralized, edge-native database systems. It is meticulously designed for students and professionals to master the principles, technologies, and best practices required to build modern, responsive, and resilient applications for the IoT, mobile, and real-time AI era.


Key Features:


1. Comprehensive & Structured Coverage: From the history and evolution of databases to a complete capstone project, the book’s 10 chapters provide a holistic view of the subject.
2. Practical, Hands-On Approach: Heavy emphasis on "learning by doing" with code snippets, step-by-step implementation guides, and practical exercises integrated within chapters.
3. Simplified Learning: Complex concepts like data consistency models, synchronization protocols, and conflict resolution are broken down into easy-to-understand parts with simple, relatable examples.
4. NEP 2020 & AICTE Aligned Pedagogy: The book’s structure promotes critical thinking, problem-solving, and skill-based learning, aligning perfectly with modern educational frameworks in India and worldwide.
5. Real-World Case Studies: Explores the application of edge databases in diverse domains like Smart Retail, Industrial IoT, Connected Healthcare, and Autonomous Vehicles, showcasing their real-world impact.
6. Complete Capstone Project: A dedicated final chapter guides the reader through building a live, working "Smart Home Energy Monitoring System," complete with architecture, full source code, and step-by-step explanations.
7. For Beginners and Experts: The book is structured to be an introductory guide for novices while also offering valuable insights and advanced techniques for experienced developers and architects.


To Whom This Book Is For:


This book is an essential resource for a wide audience:

1. B.Tech/M.Tech Students: Primarily for those in Computer Science, Information Technology, Electronics and Communication, and related fields, serving as a core textbook for courses on Databases, Distributed Systems, and IoT.
2. Software Developers & Architects: Professionals looking to design and build scalable, low-latency applications for mobile and IoT environments.
3. IoT and Embedded Systems Engineers: Engineers who need to manage data efficiently on resource-constrained devices at the edge.
4. Data Scientists and Analysts: Individuals interested in performing real-time analytics and running ML models closer to the data source.
5. Academic Researchers and Faculty: Provides a structured, up-to-date resource for teaching and research in the field of edge computing and data management.