Gartner Research

Database Archiving

Published: 20 August 2010

ID: G00206329

Analyst(s): Marcus Collins

Summary

Many organizations are struggling with the twin issues of rapidly increasing data volumes and increasingly stringent regulatory compliance policies. Database archiving has the potential to solve both these issues and therefore should be in the in-tray of all CIOs. Although the benefits are great, the complexity of database archiving infrastructure and processing means that the implementation of such an initiative is fraught with technical risk. An IT organization should lead a cross-disciplinary team to deploy a database archiving initiative as part of its overall responsibility for data management in the enterprise.

Table Of Contents

Summary of Findings

Analysis

  • Business Drivers for Database Archiving
    • Regulatory Compliance
    • Application Modernization
    • Business Innovation
    • E-Discovery
    • Litigation
    • Business Events as Digital Feeds
  • Information Technology Imperatives Driving Database Archiving
    • Increasing Database Size
    • Application Rationalization
    • E-Discovery
  • Business Involvement in Database Archiving Initiatives
  • Archiving and Information Life Cycle Management
  • Definitions
    • Data Life Cycle
    • Policy-Based Archiving
  • Alternative Strategies
    • Technology Strategies
  • Database Archiving Solution Design Criteria
  • Database Archiving Metadata Strategy
  • The Database Archiving Initiative
  • Strengths
  • Weaknesses
  • Take an Architectural Approach
  • Start with a Proof-of-Concept Initiative
  • Database Archiving Must Be Integral to the SDLC Process
  • Archive Policies Should Be Driven by Cross-Organizational Stakeholders
  • A Lack of Standards Should Not Limit Adoption
  • Consider Adopting a Commercial Database Archiving Solution

The Details

  • Database Archiving Reference Architecture
    • Data Governance Infrastructure
    • Search, Query, Analysis, Reporting, and Development
    • Data Security and Privacy
    • Data, Integration, and Management Services
    • Storage Metamodels
    • Physical Implementation
    • Administration and Monitoring

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