Gartner Research

Hype Cycle for Data Management, 2011

Published: 26 July 2011

ID: G00213386

Analyst(s): Eric Thoo , Roxane Edjlali

Summary

Data management technologies and practices are evolving fast to address the explosion in the volume, variety and velocity of data, and the convergence of data management disciplines. Use this Hype Cycle to understand and seize opportunities arising 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
    • "Big Data" and Extreme Information Processing and Management
    • Enterprise Information Management Programs
    • Data Integration Platform as a Service
    • Data Integration Tools and Data Quality Tools Convergence
    • Information Capabilities Framework
  • At the Peak
    • Enterprise Taxonomy and Ontology Management
    • In-Memory Data Grids
    • noSQL Database Management Systems
    • Complex-Event Processing
    • Data Services
    • Data Stewardship Applications
    • Database Platform as a Service
    • Enterprisewide Metadata Repositories
    • Data Quality Software as a Service
    • Cross-Platform Structured Data Archiving
    • Entity Resolution and Analysis
    • In-Memory Database Management Systems
    • Open-Source Data Integration Tools
    • Data Stewardship
  • Sliding Into the Trough
    • MapReduce
    • Master Data Management
    • Data Integration Tool Suites
    • Database Software as a Service
    • Content Integration and Migration
    • Data Profiling
    • Open-Source Database Management Systems
  • Climbing the Slope
    • Data Federation/Virtualization
    • Column-Store Database Management Systems
    • Data Quality Tools
    • Database Appliances
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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