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Establishing 'Making it Happen' as a 'Formal & Predictable' Discipline
  Metadata Architecture and Design  

Execution-MiH ENCYCLOPEDIA  →   Enterprise Intelligence →  SECTION - Metadata Management → 

CHAPTER - 

Metadata Management-Overview
This is the context setting chapter for Metadata Management. It shares the definition of metadata, demystifies metadata management, provides examples for business and technical metadata, and also on why do we need metadata.


Topics
Metadata Management definition - What is metadata?   
This page provides definition of metadata and tries to provide clarity on metadata management context. Metadata management is not only a BI subject, but an overall data management subject, serving whole of the organization.
 
Metadata Objective and purpose- Why Metadata   
Metadata has a wide range of benefit. It works on building productivity, enhancing data quality, cost saving on business activities and reduce the redundancies.
 
Technical Metadata for IT   
Technical metadata includes all the details on all layers of the systems both at physical and logical level.
 
Business Metadata for IT   
Business metadata is capturing details about an organization out of the boundaries of IT systems. It also has the details on the business specs which define the IT systems.
 
Metadata detail level   
Metadata is recorded at different level of details and also from different perspectives. The level of detail ranges from the contextual level to implementation level. The type of metadata includes functional, timing, location, ownership etc..
 
Master Data Management vs. Business intelligence vs. Metadata   
Both Metadata Management and Master-data management are data management initiatives. They have a close link with BI, but their sole purpose is not BI alone. They serve BI and also gain from BI. However, transactional systems have an equal stake on MDM and Metadata.
 
Metadata Architecture   
A true big-bang enterprise metadata is a failed dream. With advancement of technology world is moving towards multiple metadata repositories linked through a hub and spoke model. The hub and spoke model can work as a federated model or a true metadata warehouse.
 

  Metadata Architecture and Design  

All Chapters in "Metadata Management." Section
 Metadata Management-Overview →  Metadata Architecture and Design → 

 
 
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Metadata Architecture & Design
Additional Channels
Principles & Rules
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  Customer Relationship Management
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  Human Resources & Leadership
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  Business Intelligence & Data Quality
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