Big Data Concepts, Technologies, and Applications

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A01=Mohammad Shahid Husain
A01=Mohammad Zunnun Khan
A01=Tamanna Siddiqui
academic data science
advanced data processing
Ambiguity Resolution
Author_Mohammad Shahid Husain
Author_Mohammad Zunnun Khan
Author_Tamanna Siddiqui
Big Data
Big Data Analytics
Big Data Concepts
big data decision making strategies
Blockchain Technology
Category=UN
Category=UTF
Category=UY
cloud computing applications
Convolutional Layer
data analytics
Data Lake
data lakes
data security
Data Warehouse
DBN
Deep Learning Algorithms
Deep Learning Model
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fraud Detection
GDPR
Hadoop
Hadoop Ecosystem
HDFS
HDFS Architecture
Healthcare Data
healthcare informatics
industry performance analytics
Internet of Things research
NoSQL Databases
NSQL
Predictive Analytics
Prescriptive Analytics
RBM
Rest
sensor network analysis
Smart Contracts
Smart Phones
Social Media Analytics

Product details

  • ISBN 9781032579184
  • Weight: 400g
  • Dimensions: 156 x 234mm
  • Publication Date: 25 Oct 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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

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.

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