Hype Cycle for Big Data, 2014


Archived Published: 04 August 2014 ID: G00261655

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Summary

Big data has just passed the top of the Hype Cycle, and moving toward the Trough of Disillusionment. This is not a bad thing. It means the market starts to mature, becoming more realistic about how big data can be useful for organizations โ€” large and small. Big data will become business as usual.

Table of Contents

  • Analysis
    • What You Need to Know
    • The Hype Cycle
    • The Priority Matrix
    • Off the Hype Cycle
    • On the Rise
      • Context Brokers
      • Virtual Personal Assistants
      • Personal Analytics
      • Information Valuation and Infonomics
      • Data as a Service
      • Operational Intelligence Platforms
      • Supply Chain Big Data Analytics
      • Quantified Self
      • Data Lakes
      • Hadoop-Based Data Discovery
      • Graph Analysis
      • Open Data
      • Search-Based Data Discovery Tools
      • Graph Database Management Services
      • MDM and Social Data
      • Prescriptive Analytics
    • At the Peak
      • Big Data Analytics for Customer Intelligence
      • Data Science
      • High-Performance Message Infrastructure
      • Predictive Analytics
      • Smart Advisors
      • Information Capabilities Framework
      • Big Data Analytics for Fraud and Security
      • Information Semantic Services
      • Table-Style Database Management Services
      • Enterprise Information Architecture
      • Hadoop SQL Interfaces
      • Internet of Things
      • Logical Data Warehouse
      • Natural-Language Question Answering
      • Wearable User Interfaces
      • Document Store Database Management Systems
      • Complex-Event Processing
    • Sliding Into the Trough
      • Key-Value Database Management Systems
      • In-Memory Database Management Systems
      • Content Analytics
      • Dynamic Data Masking
      • Telematics
      • Hadoop Distributions
      • Entity Resolution and Analysis
      • In-Memory Data Grids
      • Data Warehouse Platform as a Service (dwPaaS)
      • Social Analytics
      • Cloud Computing
      • Linked Data
    • Climbing the Slope
      • In-Memory Analytics
      • Data Federation/Virtualization
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Gartner Recommended Reading
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