Gartner Research

Hype Cycle for Big Data, 2013

Published: 31 July 2013

ID: G00252431

Analyst(s): Nick Heudecker

Summary

Big data is a phenomenon of data usage closely linked to the "Information Age." This Hype Cycle will help enterprise information strategists separate differing approaches and technology solutions in order to find a new way of working with huge amounts of information that will be the new norm.

Table Of Contents

Analysis

  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off The Hype Cycle
  • On the Rise
    • Big Data Analytics for Customer Service
    • Information Valuation and Infonomics
    • Operational Intelligence Platforms
    • Quantified Self
    • Graph Databases
    • Big Data Analytics for E-Commerce
    • High-Performance Message Infrastructure
    • Data Science
    • Search-Based Data Discovery Tools
    • Intent-Driven Customer Systems
    • Table-Style Database Management Services
  • At the Peak
    • Information Capabilities Framework
    • Information Semantic Services
    • Video Search
    • Hadoop SQL Interfaces
    • Internet of Things
    • Logical Data Warehouse
    • Document Store Database Management Systems
    • Complex-Event Processing
    • Context-Enriched Services
    • Content Analytics
    • Dynamic Data Masking
    • Key-Value Database Management Systems
    • Cloud-Based Grid Computing
    • In-Memory Database Management Systems
  • Sliding Into the Trough
    • Social Analytics
    • Entity Resolution and Analysis
    • Sales Analytics
    • Telematics
    • Hadoop Distributions
    • In-Memory Data Grids
    • Cloud Parallel Processing
    • Database Software as a Service (dbSaaS)
    • Cloud Computing
    • Text Analytics
    • In-Memory Analytics
  • Climbing the Slope
    • Intelligent Electronic Devices
    • Social Media Monitors
  • Entering the Plateau
    • Speech Recognition
    • Predictive Analytics
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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