Big Data Concepts, Technologies, and Applications

Mohammad Shahid Husain, Mohammad Zunnun Khan, Tamanna Siddiqui

• Éditeur: Auerbach Publications
• Année: 2023
• ISBN:
  9781000965070
• Édition: 1
• Sujet: Computer Science
• Sous-sujet: Data Mining

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 anin-depth discussion about the important sectors where big data analyticshasproven to be very effective in improving performance and helping industries to remain competitive. This book provides insightinto 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