Empowering IoT with Big Data Analytics 1st Edition

Empowering IoT with Big Data Analytics (1st Edition) by Mohamed Adel Serhani, Yang Xu, and Zakaria Maamar is an essential guide for professionals, researchers, and students navigating the intersection of the Internet of Things and large-scale data intelligence. This concise, practical volume demystifies how to harness streaming data, edge computing, and advanced analytics to turn sensor-generated chaos into actionable insight.

Begin with real-world scenarios—from smart cities in Europe and North America to precision agriculture across Asia-Pacific and healthcare deployments in the MENA region—that illustrate the transformative power of IoT combined with Big Data. The book explains core concepts, architectural patterns, and analytics pipelines in clear, accessible language while introducing state-of-the-art techniques like machine learning for streaming data, anomaly detection, and scalable storage strategies.

Readers will discover how to design robust IoT ecosystems that scale, ensure data quality, and protect privacy—skills directly applicable to industry projects and academic research. Practical case studies and implementation-focused discussions bridge theory and practice, helping teams accelerate deployment, reduce operational risk, and unlock new revenue streams.

If you’re building connected solutions, leading digital transformation, or studying next-generation data systems, this book equips you with the frameworks and tools to succeed. Add Empowering IoT with Big Data Analytics to your professional library today—your roadmap to smarter, data-driven IoT deployments worldwide. Order now to stay at the forefront of IoT analytics.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.