Hype Cycle for Big Data, 2012

Archived Published: 31 July 2012 ID: G00235042


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Big data is one of the most hyped terms in the market today. The first Big Data Hype Cycle helps enterprises develop strategies to address the growing business need for insight from datasets of increasing volume, velocity and variety.

Table of Contents

  • Analysis
    • What You Need to Know
    • The Hype Cycle
    • The Priority Matrix
    • On the Rise
      • Information Valuation
      • High-Performance Message Infrastructure
      • Predictive Modeling Solutions
      • Internet of Things
      • Search-Based Data Discovery Tools
      • Video Search
    • At the Peak
      • Data Scientist
      • Dynamic Data Masking
      • Information Capabilities Framework
      • Social Content
      • Claims Analytics
      • Content Analytics
      • Context-Enriched Services
      • Logical Data Warehouse
      • noSQL Database Management Systems
      • Social Network Analysis
      • Advanced Fraud Detection and Analysis Technologies
      • Hybrid Cloud Computing
      • Open SCADA
      • Complex-Event Processing
      • Social Analytics
      • Semantic Web
      • Cloud-Based Grid Computing
      • Cloud Collaboration Services
      • Cloud Parallel Processing
      • Geographic Information Systems for Mapping, Visualization and Analytics
      • Database Platform as a Service (dbPaaS)
      • In-Memory Database Management Systems
      • Activity Streams
      • IT Service Root Cause Analysis Tools
      • Open Government Data
    • Sliding Into the Trough
      • Telematics
      • In-Memory Data Grids
      • Web Experience Analytics
      • Cloud Computing
      • Sales Analytics
      • MapReduce and Alternatives
      • Database Software as a Service (dbSaaS)
      • In-Memory Analytics
      • Text Analytics
    • Climbing the Slope
      • Intelligent Electronic Devices
      • Supply Chain Analytics
      • Social Media Monitors
      • Speech Recognition
    • Entering the Plateau
      • Web Analytics
      • Column-Store DBMS
      • Predictive Analytics
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Recommended Reading
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