Data Warehouse Architecture Best Practices and Guiding Principles

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Summary

Gartner inquiries confirm that specific data architecture principles in the data warehouse add years to its life. Data architects and warehouse managers should implement data warehouse architectures using these best practices.

Table of Contents

  • Analysis
    • 1.0 What Are the SLA Issues in the Data Warehouse?
      • 1.1 Performance Issues
      • 1.2 Data Latency and Data "Freshness"
      • 1.3 Data Warehouse Availability
      • 1.4 Mixed Workload Usage Requirements
      • 1.5 Data Warehouses Participate in a Larger Information Infrastructure
    • 2.0 Understanding the Six "-Ables"
    • 3.0 "Permanent" Demands on the Data Architecture
    • 4.0 Bringing the SLA and Data Architecture Together
  • Recommended Reading
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