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The Resource Big Data : A Primer

Big Data : A Primer

Label
Big Data : A Primer
Title
Big Data
Title remainder
A Primer
Creator
Contributor
Subject
Language
eng
Member of
Cataloging source
MiAaPQ
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Studies in Big Data
Series volume
v.11
Big Data : A Primer
Label
Big Data : A Primer
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=3567483
Publication
Copyright
Related Contributor
Related Location
Related Agents
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Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface -- Goals of the Book -- Intended Audience -- Organization of the Book -- Acknowledgments -- Contents -- Editors and Contributors -- Acronyms -- 1 Big Data: An Introduction -- Abstract -- 1 Big Data -- 2 Big Data as a Service -- 3 Big Data Processing -- 3.1 Processing Steps -- 3.2 Challenges -- 3.3 Guidelines -- 3.4 Big Data System -- 4 Technology and Tools -- 4.1 Hardware Technology -- 4.2 Software Technology -- 4.3 Big Data Tools -- 5 Research Issues -- 6 Conclusion -- Exercise -- References -- 2 Big Data Architecture -- Abstract -- 1 Introduction -- 2 Defining Big Data -- 3 Space of Big Data -- 3.1 The Next Data Plateau -- 4 Characteristics of Data -- 5 Data-Driven Decision Making -- 5.1 Data Lake -- 5.2 Data Product -- 5.3 Data R&D -- 6 Deriving Value from Data -- 6.1 The Three Functional Components at Work -- 7 Data R&D---The Fertile Ground for Innovation -- 8 Building the Data Architecture -- 8.1 Data Platform or Data Lake -- 8.2 Data Product -- 8.3 Data R&D or Data Discovery Platform -- 9 Putting It All Together -- 10 Architecture Futures -- Acknowledgments -- Questions -- References -- 3 Big Data Processing Algorithms -- Abstract -- 1 Introduction -- 1.1 An Example -- 1.2 Challenges with Big Data -- 1.3 Multi-core Versus Distributed Systems -- 1.4 Distributed Algorithms -- 1.4.1 Random Walks -- 1.4.2 Distributed Hash Tables -- 1.4.3 Bulk Synchronous Parallel (BSP) -- 2 MapReduce -- 2.1 MapReduce Paradigm -- 2.2 Introduction to Hadoop Tools -- 2.2.1 HDFS -- 2.3 MapReduce Computing Platform -- 2.3.1 Job Tracker -- 2.3.2 Task Trackers -- 2.3.3 YARN -- 2.3.4 Partitioners and Combiners -- 2.3.5 Input Reader and Output Writers -- 2.4 Putting All Together -- 3 Advanced MapReduce Techniques -- 3.1 Hadoop Streaming -- 3.2 Distributed Cache -- 3.3 Multiple Outputs -- 3.4 Iterative MapReduce -- 4 Machine Learning with MapReduce
  • 4.1 Clustering -- 4.1.1 K-Means Clustering -- 5 Conclusion -- 6 Review Questions and Exercises -- References -- 4 Big Data Search and Mining -- Abstract -- 1 Introduction -- 2 Big Data Search and Retrieval -- 3 K-Means Clustering -- 4 Social Networks---Community Detection -- 5 Social Network Clustering---Topology Discovery -- 5.1 Measures in Social Network Analysis -- 5.2 Finding Top Centrality Vertices of a Topology -- 5.3 Clustering Algorithm to Find Network Topologies [4] -- 6 Social Network Condensation -- 7 Text Sentiment Mining -- 7.1 Sentiment Evaluation -- 7.2 Consumer Sentiment from Web -- 7.3 Local Shape Generalization -- 7.3.1 Local Update -- 7.3.2 Kernels in Feature Space -- 7.3.3 User Feedback on Neighborhood Updates -- 7.4 Experimental Results and Discussion -- 8 Big Data Mining and Analysis Tools -- 9 Summary -- Exercises -- References -- 5 Security and Privacy of Big Data -- Abstract -- 1 Introduction -- 2 Security Versus Privacy -- 3 Security -- 3.1 Big Data Security in IT -- 3.2 Big Data Security in Critical Infrastructure -- 3.3 Confidentiality -- 3.4 Integrity -- 3.5 Availability -- 4 Privacy -- 4.1 Online Privacy -- 4.2 Offline Privacy -- 4.3 Privacy Post Archival -- 5 Emerging Trends -- 5.1 The Story So Far -- 5.2 On the Horizon -- 5.3 Research Challenges -- 5.4 Summary -- Questions -- References -- 6 Big Data Service Agreement -- Abstract -- 1 Introduction -- 2 Big Data Service and Agreement -- 2.1 A Scenario -- 2.2 Big Data -- 2.3 Service Agreement and Management -- 3 Big Data Service Framework -- 4 Service Agreement Specification -- 5 Data Service -- 5.1 SLA Matching -- 5.2 SLA Negotiation -- 5.2.1 Negotiation: A Distributed Process -- 6 Related Work -- 7 Conclusion -- Practice Questions -- References -- 7 Applications of Big Data -- Abstract -- 1 Introduction -- 2 Big Data Reference Architecture
  • 3 Applications in Banking and Financial Industries -- 3.1 Fraud Detection -- 3.2 Money Laundering -- 3.3 Risk Analysis -- 4 Applications in Retail Industry -- 4.1 Recommendation of Products -- 4.2 Predicting Trends -- 5 Applications in Manufacturing -- 5.1 Preventative Maintenance -- 5.2 Demand Forecasting -- 6 Applications in Telecommunications -- 6.1 Customer Churn -- 6.2 Promotion of Services -- 7 Applications in Social Media -- 7.1 Social Media Marketing -- 7.2 Social Recommendations -- 8 Applications in Health care -- 9 Developing Big Data Analytics Applications -- 10 Conclusions -- Exercises -- References -- Index
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Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b3760631'}
Extent
1 online resource (195 pages)
Form of item
online
Isbn
9788132224945
Media category
computer
Media MARC source
rdamedia
Media type code
c
Sound
unknown sound
Specific material designation
remote

Library Locations

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