
Data Intensive Computing Applications for Big Data
Description
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It is organized into 24 chapters providing a comprehensive overview of big data analysis using parallel computing and addresses the complete data science workflow in the cloud, as well as dealing with privacy issues and the challenges faced in a data-intensive cloud computing environment.
The book explores both fundamental and high-level concepts, and will serve as a manual for those in the industry, while also helping beginners to understand the basic and advanced aspects of big data and cloud computing.
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Content
- Title Page
- About the Book
- About the Editors
- Preface
- Contents
- A Survey of Diversified Domain of Big Data Technologies
- Big Data Technologies
- Steps for Implementing Big Data and Its Security Challenges
- Big Data Security Solutions in Cloud
- Big Data Analysis in Cloud Using Machine Learning
- Big Data Analysis Using Machine Learning Approach to Compute Data
- Data Intensive Computing Application for Big Data
- Uncertainty Detection in Unstructured Big Data
- Parallel Computing: A Paradigm to Unimaginable Computing Speed and Efficiency
- Application of Big Data Analytics in Cloud Computing via Machine Learning
- A Novel Mechanism for Cloud Data Management in Distributed Environment
- Spark SQL with Hive Context or SQL Context
- Renewing Computing Paradigms for More Efficient Parallelization of Single-Threads
- MongoDB as an Efficient Graph Database: An Application of Document Oriented NOSQL Database
- Big Data Analytics for Prevention and Control of HIV/AIDS
- Performance Analysis of Deadlock Prevention and MUTEX Detection Algorithms in Distributed Environment
- Real Time Location Tracking Map Matching Approaches for Road Navigation Applications
- Accurate Prediction of Life Style Based Disorders by Smart Healthcare Using Machine Learning and Prescriptive Big Data Analytics
- Parallel Computing Contrive Optimized NFB Through QEEG & LENS Approach
- S-ARRAY: Highly Scalable Parallel Sorting Algorithm
- Protein Synthesis Based Discretization Method for Knowledge Discovery
- Scala Programming for Big-Data Application
- Fading Channel and Imperfect Channel Estimation for OFDM in Wireless Communication
- Blockchain Innovation and Its Impact on Business Banking Operations
- Subject Index
- Author Index
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File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
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