The Internet of Things and Big Data Analytics: Integrated Platforms and Industry Use Cases

This book comprehensively conveys the theoretical and practical aspects of IoT and big data analytics with the solid contributions from practitioners as well as academicians. This book examines and expounds the unique capabilities of the big data analytics platforms in capturing, cleansing and crunching IoT device/sensor data in order to extricate actionable insights. A number of experimental case studies and real-world scenarios are incorporated in this book in order to instigate our book readers. This book

• Analyzes current research and development in the domains of IoT and big data analytics
• Gives an overview of latest trends and transitions happening in the IoT data analytics space
• Illustrates the various platforms, processes, patterns, and practices for simplifying and streamlining IoT data analytics

The Internet of Things and Big Data Analytics: Integrated Platforms and Industry Use Cases examines and accentuates how the multiple challenges at the cusp of IoT and big data can be fully met. The device ecosystem is growing steadily. It is forecast that there will be billions of connected devices in the years to come. When these IoT devices, resource-constrained as well as resource-intensive, interact with one another locally and remotely, the amount of multi-structured data generated, collected, and stored is bound to grow exponentially. Another prominent trend is the integration of IoT devices with cloud-based applications, services, infrastructures, middleware solutions, and databases. This book examines the pioneering technologies and tools emerging and evolving in order to collect, pre-process, store, process and analyze data heaps in order to disentangle actionable insights.

本書全面傳達了物聯網（IoT）和大數據分析的理論和實踐方面，並得到了實踐者和學者的寶貴貢獻。本書探討並闡述了大數據分析平台在捕獲、清理和分析物聯網設備/傳感器數據以提取可行洞察力方面的獨特能力。本書還包含了一些實驗案例研究和現實世界情境，以激發讀者的興趣。

本書分析了物聯網和大數據分析領域的當前研究和發展，概述了物聯網數據分析領域正在發生的最新趨勢和轉變，並說明了簡化和優化物聯網數據分析的各種平台、流程、模式和實踐方法。

《物聯網和大數據分析：集成平台和行業應用案例》詳細探討了如何充分應對物聯網和大數據交匯處的多重挑戰。設備生態系統正在穩步增長，預計未來幾年將有數十億個連接設備。當這些物聯網設備（資源受限和資源密集型）在本地和遠程互相交互時，所生成、收集和存儲的多結構數據量必然呈指數級增長。另一個顯著趨勢是將物聯網設備與基於雲的應用、服務、基礎設施、中間件解決方案和數據庫集成。本書探討了新興和發展中的先進技術和工具，以便收集、預處理、存儲、處理和分析大量數據，以提取可行洞察力。

Dr. Pethuru Raj Chelliah has been working as the chief architect in the Site Reliability Engineering (SRE) division of Reliance Jio Infocomm Ltd. (RJIL), Bangalore, India. He has more than 17 years of IT industry experience and 8 years of research experience.

Dr. T. Poongodi completed a Ph.D. at Anna University, Chennai and currently is working as an Assistant Professor in Galgotias University, Greater Noida, Uttar Pradesh, India. She has 12 years of teaching experience in the field of computer science. Her area of interest lies in the field of Internet of Things, Big data, Networking. She has published more than 10 international journals and contributed book chapters.

Dr. Balamurugan Balusamy completed a Ph.D at VIT University, Vellore and is currently a Professor in Galgotias University, Greater Noida, Uttar Pradesh, India. He has 15 years of teaching experience in the field of computer science. Her areas of interest lie in the field of Internet of Things, Big data, networking. He has published more than 100 international journals papers and contributed book chapters.

Dr. Manju Khari completed a Ph.D. at NIT, Patna, and currently working as Assistant Professor in Ambedkar Institute of Advanced Communication Technologies & Research, Delhi. He has 13 years of teaching experience in the field of computer science. His area of interest lies in the field of Internet of Things, Big data, networking. He has published more than 25 international journals papers and contributed book chapters.

Dr. Pethuru Raj Chelliah在印度班加羅爾的Reliance Jio Infocomm Ltd. (RJIL)的Site Reliability Engineering (SRE)部門擔任首席架構師。他擁有超過17年的IT行業經驗和8年的研究經驗。

Dr. T. Poongodi在印度北方邦Greater Noida的Galgotias大學擔任助理教授，她在安娜大學取得博士學位。她在計算機科學領域擁有12年的教學經驗。她的研究興趣包括物聯網、大數據和網絡。她已發表了10多篇國際期刊論文並貢獻了書籍章節。

Dr. Balamurugan Balusamy在印度北方邦Greater Noida的Galgotias大學擔任教授，他在VIT大學取得博士學位。他在計算機科學領域擁有15年的教學經驗。他的研究興趣包括物聯網、大數據和網絡。他已發表了100多篇國際期刊論文並貢獻了書籍章節。

Dr. Manju Khari在印度德里的Ambedkar Institute of Advanced Communication Technologies & Research擔任助理教授，他在NIT, Patna取得博士學位。他在計算機科學領域擁有13年的教學經驗。他的研究興趣包括物聯網、大數據和網絡。他已發表了25多篇國際期刊論文並貢獻了書籍章節。