Big Data Computing

Advances in Technologies, Methodologies, and Applications

Tanvir Habib Sardar, Bishwajeet Kumar Pandey, Tanvir Habib Sardar, Bishwajeet Kumar Pandey

• Publisher: CRC Press
• Year: 2024
• Print ISBN: 9781032555607
• eBook ISBN: 9781003822783
• Topic: Computer Science
• Subtopic: Systems Architecture
• Index: Computer Science

This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services such as Apache Spark, Kafka, and so forth. It also covers developments in big data computing applications such as machine learning, deep learning, graph processing, and many others.

Features:

• Provides comprehensive analysis of advanced aspects of big data challenges and enabling technologies.
• Explains computing models using real-world examples and dataset-based experiments.
• Includes case studies, quality diagrams, and demonstrations in each chapter.
• Describes modifications and optimization of existing technologies along with the novel big data computing models.
• Explores references to machine learning, deep learning, and graph processing.

This book is aimed at graduate students and researchers in high-performance computing, data mining, knowledge discovery, and distributed computing.

Table of contents

• Cover
• Half Title
• Series Page
• Title Page
• Copyright Page
• Contents
• Preface
• About the Editors
• List of Contributors
• Glossary
• Chapter 1 IoT Next Gen and the World of Big Data Computing
• Chapter 2 Large-Scale Data Processing in Cloud Computing Environment: Hadoop-MapReduce
• Chapter 3 Education Enhanced by Big Data as a Technology of the Fourth Industrial Revolution (IR 4.0)
• Chapter 4 Big Data Pre-processing for Machine Parameter Optimization
• Chapter 5 From Data to Insights: A Review of Cloud-Based Big Data Tools and Technologies
• Chapter 6 The Intersection of Machine Learning, Artificial Intelligence, and Big Data
• Chapter 7 Deep Learning in Big Data: Challenges and Perspectives
• Chapter 8 Recent Research Techniques in Processing, Security, and Storage of Real-World Applications of Big Computing
• Chapter 9 Leveraging Big Data Analytics and Conversational AI for Agriculture
• 10 Artificial Intelligence and Deep Learning Applications on Big Data Computing Frameworks
• 11 Big Data in Education
• 12 The Future of Big Data in Customer Experience and Inventory Management
• 13 Mapping of Nearest Neighbor-Based Quantum Circuits into 2D
• 14 Credit Card Fraud Detection Using Big Data Analytics and Machine Learning
• 15 A Review on Machine Learning Approaches in Diagnosis of ADHD Based on Big Data
• 16 Research on Various Plastic Arts in Interior Decoration Design Based on Big Data under the Environment of Sustainable Development
• 17 Machine Learning Algorithms in the Handling of Ultrasonography Big Data for Disease Diagnosis and Prediction
• 18 Machine Learning in the Healthcare Sector and the Biomedical Big Data: Techniques, Applications, and Challenges
• Index