Gartner Research

Leveraging Data Virtualization in Modern Data Architectures

Published: 05 April 2019

ID: G00378177

Analyst(s): Henry Cook

Summary

Business demand for self-service access to real-time data from multiple data sources and in varied formats complicates data management. This research guides technical professionals responsible for data management who must determine how data virtualization can benefit their data architecture.

Table Of Contents

Analysis

  • Business Challenges Addressed by Data Virtualization
  • Benefits of DV
    • Decoupling Data From Server
    • Location Flexibility
    • Unified View of Data
    • Federate Queries Among Varied Sources
    • Data Engineering Agility
    • Manage Excel
    • Analyze Proprietary Database and Specialty Cloud Data
    • Optimize Compute Resources
    • Logically Centralize Data Governance
  • Data Virtualization Architecture Overview
    • Data Virtualization Architectural Components
    • Data Virtualization Architectural Variations
  • Data Virtualization Use Cases
    • Common Use Cases
    • Emerging Use Cases
  • Case Studies
    • Cloetta Case Study
    • Crédit Agricole Consumer Finance (CA CF) Case Study
    • HubSpot Case Study
    • Intenda Case Study
    • Lacework Case Study
    • Warner Bros. Analytics Case Study
  • Strengths
  • Weaknesses

Guidance

The Details

  • Metadata Repository Details
    • Automation of Metadata Capture
    • Metadata Relationship Discovery
  • Caching and Optimization Details
    • Location of Cache and Related Benefits
    • Cache Update Variations
    • Query Optimizations
  • Data Blending Details

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