Hype Cycle for Big Data, 2013

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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
  • Recommended Reading
© 2013 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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