Handbook of Research on Cloud Infrastructures for Big Data Analytics, 1st Edition

  • Published By:
  • ISBN-10: 1466658657
  • ISBN-13: 9781466658653
  • DDC: 004.67
  • Grade Level Range: College Freshman - College Senior
  • 570 Pages | eBook
  • Original Copyright 2014 | Published/Released December 2015
  • This publication's content originally published in print form: 2014

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Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Advances in Data Mining and Database Management (ADMDM) Book Series.
Titles in this Series.
Editorial Advisory Board.
Table of Contents.
Detailed Table of Contents.
1: The IT Readiness for the Digital Universe.
2: Big Data Computing and the Reference Architecture.
3: Big Data Analytics Demystified.
4: The Compute Infrastructures for Big Data Analytics.
5: Storage Infrastructure for Big Data and Cloud.
6: Big Data Architecture: Storage and Computation.
7: The Network Infrastructures for Big Data Analytics.
8: NoSQL Databases.
9: Cloud Database Systems: NoSQL, NewSQL, and Hybrid.
10: Driving Big Data with Hadoop Technologies.
11: Integrating Heterogeneous Data for Big Data Analysis.
12: An Overview on the Virtualization Technology.
13: Data Visualization: Creating Mind's Eye.
14: Significance of In-Memory Computing for Real-Time Big Data Analytics.
15: Big Data Predictive and Prescriptive Analytics.
16: A Survey of Big Data Analytics Systems: Appliances, Platforms, and Frameworks.
17: Middleware for Preserving Privacy in Big Data.
18: Accessing Big Data in the Cloud Using Mobile Devices.
19: Medical Data Analytics in the Cloud Using Homomorphic Encryption.
20: Bioinformatics Clouds for High-Throughput Technologies.
21: Green Cloud Computing: Data Center Case Study.
Compilation of References.
About the Contributors.