Hype Cycle for Information Infrastructure, 2012

G00231349

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Summary

Information Infrastructure technologies enable organizations to describe, organize, share, integrate and govern data and content to create business value. Use this Hype Cycle to understand and seize opportunities from established and emerging capabilities.

Table of Contents

  • Analysis
    • What You Need to Know
    • The Hype Cycle
    • The Priority Matrix
    • Off The Hype Cycle
    • On the Rise
      • Open-Source Data Quality Tools
      • Information Semantic Services
      • Data Services
    • At the Peak
      • Information Capabilities Framework
      • Data Integration Platform as a Service
      • Big Data
      • Enterprise Information Architecture
      • Enterprise Metadata Management
      • Information Stewardship Applications
      • Logical Data Warehouse
      • noSQL Database Management Systems
      • Data Integration Tools and Data Quality Tools Convergence
      • Complex-Event Processing
      • Cross-Platform Structured Data Archiving
      • Data Quality Software as a Service
      • Database Platform as a Service (dbPaaS)
      • In-Memory Database Management Systems
    • Sliding Into the Trough
      • Enterprise Taxonomy and Ontology Management
      • Entity Resolution and Analysis
      • In-Memory Data Grids
      • Master Data Management
      • Open-Source Data Integration Tools
      • MapReduce and Alternatives
      • Data Integration Tool Suites
      • Database Software as a Service (dbSaaS)
      • Content Integration and Migration
    • Climbing the Slope
      • Data Federation/Virtualization
      • Open-Source DBMS
      • Data Quality Tools
    • Entering the Plateau
      • Column-Store DBMS
      • Database Appliances
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Recommended Reading
© 2012 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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