Gartner Research

Decision Point for Logical Data Warehouse Implementation Styles

Published: 13 May 2013

ID: G00250883

Analyst(s): Mei Selvage


The logical data warehouse (the next-generation data warehouse) improves agility, enables innovation and responds more efficiently to changing business requirements. This Decision Point presents a systematic and practical way to choose an LDW implementation style for a given use case.

Table Of Contents

Decision Point

Decision Context

  • Architectural Context
  • Related Decisions

Evaluation Criteria

  • Requirements and Constraints
    • Requirements
    • Constraints
  • Principles


  • Repository
  • Distributed Process
  • Virtualization

Future Developments

Decision Tool

  • Step 1: Understand the Given Use-Case Requirements
  • Step 2: Choose an LDW Implementation Style Using the Decision Tree
  • Step 3: Verify the Choice Using the Attached Spreadsheet, "LDW_Decision_Tool.xlsx"
  • Step 4: Perform a Trade-Off Analysis, and Document the Decision

Decision Justification

  • Case Study: Consolidated Financial Reporting
  • Case Study: Self-Service Reports for Sales and Marketing
  • Case Study: Sentiment Analysis

Recommended Reading

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