{"product_id":"handbook-of-iot-and-big-data-practical-insights-for-engineers","title":"Handbook of IoT and Big Data - Practical Insights for Engineers","description":"\u003cp\u003eIn this review of the Handbook of IoT and Big Data, the editors' goal is clear: collect current thinking on the convergence of internet of things and big data into a single, usable reference. This handbook is for engineers, researchers, and managers who need a structured overview of how sensors, automation and analytics come together in applied settings; its single biggest selling point is the combination of forward-looking commentary with practical case studies that illustrate real-world deployments. The review finds it most valuable as a reference companion rather than a step-by-step textbook.\u003c\/p\u003e\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n \u003cli\u003e\n\u003cstrong\u003eComprehensive coverage:\u003c\/strong\u003e Chapters span core IoT technologies and the evolving landscape of big data to give readers a broad technical context for both fields.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eFuture-focused analysis:\u003c\/strong\u003e Sections on the future horizons of big data offer perspectives useful for planning research and long-term projects.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003ePractical case studies:\u003c\/strong\u003e Real-world examples in health care, manufacturing and automation show how IoT and big data integrate in operational systems.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eInterdisciplinary approach:\u003c\/strong\u003e Contributions from multiple authors provide diverse viewpoints on hardware, software and sensor-driven automation.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eResource consolidation:\u003c\/strong\u003e The handbook collects limited scattered resources into one volume, saving time for readers seeking a single reference.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eWho It's For\u003c\/h2\u003e\n\u003cp\u003eThe handbook is best suited for mid-career engineers, systems architects and operations managers who need a concise survey of current IoT and big data interactions, along with case studies they can adapt to industry contexts. Graduate students and researchers looking for a multi-author perspective on applied problems will also find useful leads to further reading.\u003c\/p\u003e\n\u003cp\u003eReaders seeking hands-on tutorials, code-first instruction, or a single-author deep dive into algorithms should look elsewhere; this volume emphasizes synthesis, case studies and future trends more than stepwise laboratory exercises.\u003c\/p\u003e\n\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n \u003cli\u003eBrings together \u003cstrong\u003eIoT and big data\u003c\/strong\u003e topics in one place, reducing the need to consult many separate sources.\u003c\/li\u003e\n \u003cli\u003eCase studies provide concrete examples of deployment in health care, manufacturing and automation.\u003c\/li\u003e\n \u003cli\u003eAddresses automation, sensors and energy-saving considerations alongside software and analytics.\u003c\/li\u003e\n \u003cli\u003eOffers forward-looking commentary on the fast-growing \u003cstrong\u003ebig data\u003c\/strong\u003e market and its implications.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n \u003cli\u003eAs a multi-contributed handbook, the depth and style vary by chapter, so some sections read more like overviews than deep technical guides.\u003c\/li\u003e\n \u003cli\u003eNot intended as a hands-on coding or lab manual for immediate implementation work.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n \u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eHandbook of IoT and Big Data (Science, Technology, and Management)\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eEditors \/ Brand\u003c\/td\u003e\n\u003ctd\u003eVijender Kumar Solanki, Vicente Garcia Diaz, J. Paulo Davim\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eContent focus\u003c\/td\u003e\n\u003ctd\u003eIoT technologies, Big Data future, algorithms, and case studies\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eIndustry examples\u003c\/td\u003e\n\u003ctd\u003eHealth care, manufacturing, automation\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003eApproach\u003c\/td\u003e\n\u003ctd\u003eMulti-contributed handbook with interdisciplinary chapters\u003c\/td\u003e\n\u003c\/tr\u003e\n \u003ctr\u003e\n\u003ctd\u003ePrimary benefits\u003c\/td\u003e\n\u003ctd\u003eConsolidates limited resources; presents practical and future perspectives\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch2\u003eOur Verdict\u003c\/h2\u003e\n\u003cp\u003eThe Handbook of IoT and Big Data is a well-organized, multi-author reference that serves engineers and managers who need a synthesized view of sensor-driven automation and data analytics. It is good value for readers seeking applied case studies and future-oriented discussion rather than hands-on tutorials, and it saves time by consolidating dispersed material into a single volume.\u003c\/p\u003e\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this handbook include practical case studies?\u003c\/strong\u003e\u003cbr\u003eYes. The volume contains case studies demonstrating IoT and big data applications in health care, manufacturing and automation.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs this a hands-on programming guide?\u003c\/strong\u003e\u003cbr\u003eNo. The handbook emphasizes synthesis, technologies and case studies rather than step-by-step code or lab exercises.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWho edited the book?\u003c\/strong\u003e\u003cbr\u003eThe book is edited by Vijender Kumar Solanki, Vicente Garcia Diaz and J. Paulo Davim and features multiple contributing authors.\u003c\/p\u003e","brand":"Vijender Kumar Solanki, Vicente Garcia Diaz, J. Paulo Davim","offers":[{"title":"Default Title","offer_id":48186464960731,"sku":"0367780194","price":69.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/81oACGbNeyL._SL1500.jpg?v=1769268568","url":"https:\/\/gearmusthave.com\/products\/handbook-of-iot-and-big-data-practical-insights-for-engineers","provider":"GearMustHave","version":"1.0","type":"link"}