Data Semantics Management

Volume 1: Rationale, Requirements, Architecture
Volume 2: Deployment

Volume 1 contains a a time-tested, highly-engineered approach to shared data is essential to your business This volume provides:

  • A Justification for the Shared Data Environments Essential to Business Success
  • A Critical Semantic Foundation for Reliable and Repeatable Shared Data.
  • Lessons Learned from Multi-Hundred Million Dollar Failures
  • A Detailed Framework for Shared Data Environments
  • A Strategy to Address Names, the Achilles Heel of Shared Data
  • A Step-by-Step Approach for Automatic Name and Definition Construction
  • An Approach to Deal with the Hidden Shared Data Killer – Value Domains.
  • A Focused Look at the Six Classes of Business Facts.
  • And Much, Much More!

Volume 1 Table of Contents & Chapter 1

Volume 2 contains Time-Tested, Step-by-Step Processes to Create Shared Data Environments. This volume provides:

  • Approaches to Build Data Element Foundation Blocks for Shared Data
  • Methods to Construct Data Model Templates to Develop Shared Databases
  • Processes to Engineer Database with Data Elements & Data Model Templates
  • Techniques to Create Data, Process, and State Objects for Project Teams.
  • Forward/Reverse Engineering Strategies to Integrate Legacy Data Models
  • Strategies for Client-Server, XML, and Service Oriented Architectures
  • Work Plans to Deploy and Maintain Shared Data Environments
  • Reviews of How Shared Data Errors are Eliminated or Severely Reduced
  • And Much, Much More!

Volume 2 Table of Contents


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