Introduction: Volume – Velocity – Variety – Veracity - Drivers for Big Data - Sophisticated Consumers – Automation – Monetization.
Big Data Analytics Applications: Social Media Command Center - Product Knowledge Hub - Infrastructure and Operations Studies - Product Selection, Design and Engineering - Location-Based Services - Micro-Segmentation and Next Best Action - Online Advertising - Improved Risk Management.
Architecture Components: Massively Parallel Processing (MPP) Platforms - Unstructured Data Analytics and Reporting - Big Data and Single View of Customer/Product - Data Privacy Protection - Real-Time Adaptive Analytics and Decision Engines.
Advanced Analytics Platform: Real-Time Architecture for Conversations - Orchestration and Synthesis Using Analytics Engines - Entity Resolution - Model Management - Command Center - Analytics Engine - Discovery Using Data at Rest - Integration Strategies.
Implementation of Big Data Analytics: Revolutionary, Evolutionary, or Hybrid - Big Data Governance - Integrating Big Data with MDM - Journey, Milestones, and Maturity Levels - Analytics Business Maturity Model
Reference Book:
1. Paul C. Zikopoulos, Chris Eaton, Dirk deRoos, Thomas Deutsch, George Lapis, Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data, McGraw-Hill, 2015. ISBN: 0071790535 1. Anand Rajaraman and Jeffrey David Ullman, Mining of Massive Datasets, Cambridge University Press, 2014. ISBN: 978-1-107-07723-2
Text Book:
1. Big Data Analytics: Disruptive Technologies for Changing the Game, Dr. Arvind Sathi, MC Press, 2012, ISBN: 978-1-58347-380-1.