Big Data Concepts, Technologies, and Applications

NOTE EDITORE

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 of 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 application of big data analytics. Presenting the state-of-the-art technologies in use for big data analytics. it provides in-depth discussion about the important sectors where big data analytics is proved to be very effective in improving performance and helping industries to remain competitive. This book provides insight about 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. Such state-of-the-art technologies for big data analytics as Hadoop, NoSQL databases, data lakes, deep learning, and blockchain 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

SOMMARIO

Section I. Understanding Big DataChapter 1. Overview of Big DataChapter 2. Challenges of Big DataChapter 3. Big Data Analytics Section II. Big Data TechnologiesChapter 4. Hadoop EcosystemChapter 5. NoSQL DatabasesChapter 6. Data LakesChapter 7. Deep LearningChapter 8. Blockchain Section III. Big Data ApplicationsChapter 9. Big Data for HealthcareChapter 10. Big Data analytics for Fraud Detection and PreventionChapter 11. Big Data Analytics in Social MediaChapter 12. Novel Applications and Research Directions in Big Data Analytics

AUTORE

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.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9781032579184
• Dimensioni: 9.25 x 6.25 in
• Formato: Brossura
• Illustration Notes: 48 b/w images, 19 tables and 48 line drawings
• Pagine Arabe: 216