Big Data Concepts, Technologies, and Applications

With the advent of such advanced technologies as cloud computing, the Internet of Things, the Medical Internet of Things, the Industry Internet of Things and sensor networks as well as the exponential growth in the usage of Internet-based and social media platforms, there are enormous oceans of data. These huge volumes of data can be used for effective decision making and improved performance if analyzed properly. Due to its inherent characteristics, big data is very complex and cannot be handled and processed by traditional database management approaches. There is a need for sophisticated approaches, tools and technologies that can be used to store, manage and analyze these enormous amounts of data to make the best use of them.

Big Data Concepts, Technologies, and Applications covers the concepts, technologies, and applications of big data analytics. Presenting the state-of-the-art technologies in use for big data analytics. it provides an in-depth discussion about the important sectors where big data analytics has proven to be very effective in improving performance and helping industries to remain competitive. This book provides insight into the novel areas of big data analytics and the research directions for the scholars working in the domain. Highlights include:

• The advantages, disadvantages and challenges of big data analytics
• State-of-the-art technologies for big data analytics such as Hadoop, NoSQL databases, data lakes, deep learning and blockchain

• The application of big data analytic in healthcare, business, social media analytics, fraud detection and prevention and governance

Exploring the concepts and technologies behind big data analytics, the book is an ideal resource for researchers, students, data scientists, data analysts and business analysts who need insight into big data analytics

隨著雲計算、物聯網、醫療物聯網、工業物聯網和感測器網絡等先進技術的出現，以及基於互聯網和社交媒體平台的使用量指數級增長，數據量龐大。這些大量的數據如果經適當分析，可以用於有效的決策和提高業績。由於其固有的特性，大數據非常複雜，無法通過傳統的數據庫管理方法來處理和加工。因此，需要先進的方法、工具和技術來存儲、管理和分析這些龐大的數據，以充分利用它們。

《大數據概念、技術和應用》涵蓋了大數據分析的概念、技術和應用。該書介紹了目前在大數據分析中使用的最先進技術，並深入探討了大數據分析在提高業績和幫助行業保持競爭力方面的重要領域。本書還提供了對大數據分析的新領域和研究方向的見解。重點包括：

- 大數據分析的優點、缺點和挑戰
- 大數據分析的最新技術，如Hadoop、NoSQL數據庫、數據湖、深度學習和區塊鏈
- 大數據分析在醫療保健、商業、社交媒體分析、詐騙檢測和預防以及治理方面的應用

通過探索大數據分析的概念和技術，本書是研究人員、學生、數據科學家、數據分析師和業務分析師的理想資源，他們需要深入了解大數據分析。

Mohammad Shahid Husain is an Assistant Professor in the Department of Information Technology, University of Technology and Applied Sciences, Oman.

Mohammad Zunnun Khan is an Assistant Professor at the College of Computing and Information Technology, University of Bisha, Bisha, KSA

Tamanna Siddiqui is a Professor at the Department of Computer Science, Aligarh Muslim University, India.

Mohammad Shahid Husain 是阿曼科技與應用科學大學資訊技術系的助理教授。

Mohammad Zunnun Khan 是沙特阿拉伯比沙大學計算與資訊技術學院的助理教授。

Tamanna Siddiqui 是印度阿利加爾穆斯林大學計算機科學系的教授。