Volume – Velocity – Variety – Veracity. Drivers for Big Data? – Sophisticated Consumers – Automation - Monetization
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
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
Real-Time Architecture for Conversions – Orchestration and Synthesis Using Analytics Engines – Discovery Using Data at Rest – Integration Strategies
Revolutionary, Evolutionary, or Hybrid – Big Data Governance – Journey, Milestones, and Maturity Levels
Reference Book:
1. Tom White, “Hadoop: The Definitive Guide”, O’Reilly Media, Inc., Fourth Edition, ISBN –9781491901687 2. Tom White, “Hadoop: The Definitive Guide”, O’Reilly Media, Inc., Third Edition, ISBN –978-1-449-31152-0 3. Frank Ohlhorst, “Big Data Analytics Turning Big Data into Big Money”, John Wiley & Sons, Inc., First Edition, ISBN – 978-1-118-22582-0 (ePDF) 4. Viktor Mayer-Schonberger and Kenneth Cukier, “Big Data: The Essential Guide to Work, Life and Learning in the Age of Insight”, John Murray, Third Edition, ISBN – 978-1-848-
Text Book:
Dr.Arvind Sathi, “Big Data Analytics”, MC Press Online, LLC, First Edition, ISBN – 978-1- 58347-380-1