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Cloud Infrastructures for Big Data Analytics [Kõva köide]

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  • Formaat: Hardback, 379 pages, kõrgus x laius: 229x152 mm, kaal: 1733 g
  • Ilmumisaeg: 26-Feb-2014
  • Kirjastus: Idea Group,U.S.
  • ISBN-10: 1466658649
  • ISBN-13: 9781466658646
  • Formaat: Hardback, 379 pages, kõrgus x laius: 229x152 mm, kaal: 1733 g
  • Ilmumisaeg: 26-Feb-2014
  • Kirjastus: Idea Group,U.S.
  • ISBN-10: 1466658649
  • ISBN-13: 9781466658646
A massive, and comprehensive, overview of cloud infrastructures, this is a collection of in-depth studies and recipes written by an international team of experts and designed to facilitate decision-making and improve management of a wide variety of applications and services. Topics covered concentrate on big data applications in the cloud context and include a variety of topics. from an introduction to big data analytics and big data storage and computation to medical data analysis and green cloud computing. Throughout, the approach is detailed and hands-on, including step-by-step instructions for both implementation and research. Many cutting-edge technologies are discussed: Hadoop, NoSQL and NewSQl all receive a thorough treatment. Data visualization, and problems arising from use of different platforms are covered. An extensive list of references points the way to more tools and information. Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)

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.
Foreword xvi
Preface xviii
Chapter 1 The IT Readiness for the Digital Universe
1(21)
Pethuru Raj
Chapter 2 Big Data Computing and the Reference Architecture
22(16)
M. Baby Nirmala
Pethuru Raj
Chapter 3 Big Data Analytics Demystified
38(36)
Pethuru Raj
Chapter 4 The Compute Infrastructures for Big Data Analytics
74(36)
Pethuru Raj
Chapter 5 Storage Infrastructure for Big Data and Cloud
110(19)
Anupama C. Raman
Chapter 6 Big Data Architecture: Storage and Computation
129(28)
Siddhartha Duggirala
Chapter 7 The Network Infrastructures for Big Data Analytics
157(29)
Pethuru Raj
Chapter 8 NoSQL Databases
186(30)
Ganesh Chandra Deka
Chapter 9 Cloud Database Systems: NoSQL, NewSQL, and Hybrid
216(16)
Swati V. Chande
Chapter 10 Driving Big Data with Hadoop Technologies
232(31)
G. M. Siddesh
Srinidhi Hiriyannaiah
K. G. Srinivasa
Chapter 11 Integrating Heterogeneous Data for Big Data Analysis
263(26)
Richard Millham
Chapter 12 An Overview on the Virtualization Technology
289(33)
Ganesh Chandra Deka
Prashanta Kumar Das
Chapter 13 Data Visualization: Creating Mind's Eye
322(30)
Ravishankar Palaniappan
Chapter 14 Significance of In-Memory Computing for Real-Time Big Data Analytics
352(18)
Ganesh Chandra Deka
Chapter 15 Big Data Predictive and Prescriptive Analytics
370(22)
Ganesh Chandra Deka
Chapter 16 A Survey of Big Data Analytics Systems: Appliances, Platforms, and Frameworks
392(27)
M. Baby Nirmala
Chapter 17 Middleware for Preserving Privacy in Big Data
419(25)
M. Thilagavathi
Daphne Lopez
B. Senthil Murugan
Chapter 18 Accessing Big Data in the Cloud Using Mobile Devices
444(27)
Haoliang Wang
Wei Liu
Tolga Soyata
Chapter 19 Medical Data Analytics in the Cloud Using Homomorphic Encryption
471(18)
Ovunc Kocabas
Tolga Soyata
Chapter 20 Bioinformatics Clouds for High-Throughput Technologies
489(19)
Claudia Cava
Francesco Gallivanone
Christian Salvatore
Pasquale Anthony Delia Rosa
Isabella Castiglioni
Chapter 21 Green Cloud Computing: Data Center Case Study
508(26)
Ahmed Abdul Hassan Al-Fatlawi
Seifedine Kadry
Compilation of References 534(26)
About the Contributors 560(6)
Index 566
Pethuru Raj, IBM, India.

Ganesh Chandra Deka, Ministry of Labour and Employment, India.