Gartner Research

Nine Architectural Patterns for Integrating Structured and Unstructured Data in the Big Data Era

Published: 15 August 2013

ID: G00251118

Analyst(s): Mei Selvage

Summary

Ad hoc approaches for data integration are insufficient for addressing big data integration challenges. The nine proven integration architectural patterns in this document empower technical professionals to integrate structured and unstructured data systematically.

Table Of Contents

Comparison

Analysis

  • Challenges to Integrating Structured and Unstructured Data
  • Two Extreme Approaches
    • One Extreme: "Do Nothing"
    • Another Extreme: "Big Bang"
    • Find a Healthy, Productive Organizational Range
  • Architectural Patterns
    • 1. Information Retrieval
    • 2. Integrating Analytical Output
    • 3. Integrating a Metadata Repository
    • 4. Centralized DBMS
  • Short Term: Form a Cross-Disciplinary Working Group. Define a Focused Business Subject Area
  • Midterm: Define the Long-Term Technology Strategy That Empowers the Business Strategy
  • Long Term: Standardize Integration Approaches, Address Change Management and Data Governance

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