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Index
Cover Title Page Copyright Dedication About the Author Acknowledgements Foreword by Bob Keseley Foreword by Jeff Jonas Contents Chapter 1: Introduction
1.1 Volume 1.2 Velocity 1.3 Variety 1.4 Veracity
Chapter 2: Drivers for Big Data?
2.1 Sophisticated Consumers 2.2 Automation 2.3 Monetization
Chapter 3: Big Data Analytics Applications
3.1 Social Media Command Center 3.2 Product Knowledge Hub 3.3 Infrastructure and Operations Studies 3.4 Product Selection, Design and Engineering 3.5 Location-Based Services 3.6 Microsegmentation and Next Best Action 3.7 Online Advertising 3.8 Improved Risk Management
Chapter 4: Architecture Components
4.1 Massively Parallel Processing (Mpp) Platforms 4.2 Unstructured Data Analytics and Reporting
Search and Count Context-Sensitive and Domain-Specific Searches Categories and Ontology Qualitative Comparisons Focus on Specific Time Slice or Using Other Dimensions
4.3 Big Data and Single View of Customer/Product 4.4 Data Privacy Protection 4.5 Realtime Adaptive Analytics and Decision Engines
Chapter 5: Advanced Analytics Platform
5.1 Realtime Architecture for Conversations 5.2 Orchestration and Synthesis Using Analytics Engines
Entity Resolution Model Management Command Center Analytics Engine
5.3 Discovery Using Data at Rest 5.4 Integration Strategies
Chapter 6: Implementation of Big Data Analytics
6.1 Revolutionary, Evolutionary, or Hybrid 6.2 Big Data Governance
Integrating Big Data with Mdm
6.3 Journey, Milestones, and Maturity Levels
Analytics Business Maturity Model
Chapter 7: Closing Thoughts Notes Abbreviations
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