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How the Enterprise Data Model can help you build a better Dimensional Data Warehouse

A practical and in-depth walkthrough on how to build an Enterprise-class Business Intelligence (BI) framework by bringing together two distinct modelling paradigms that might otherwise be at odds with one another (Entity/Relationship vs. Dimensional)
by

alex soltesz

on 23 May 2014

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Transcript of How the Enterprise Data Model can help you build a better Dimensional Data Warehouse

How the Enterprise Data Model can help you
build a better Dimensional Data Warehouse


Raison d'être
Strategic Imperatives
Kimball Methodology (BPDM)*
Enterprise Data Model (EDM)
Top-Down
EDM/BPDM Framework
Conclusion
What Kimball is Not
Kimball Architecture
Comparison of Industry Approaches
EDM Architecture
Subject Area Model (SAM)
Data Concept Model (DCM)
Enterprise Focus
Business Alignment
The 'Model-verse'
The Blueprint
Architecture is Top-Down
Take-away #1
Take-away #2
Based on Jim Harvey's speech structures
So You Think You Can Dimensional Model
Kimball Benefits
Conceptual Entity Model (CEM)
EDM Taxonomy (Meta data)
*Business Process Dimensional Model
alex.soltesz@gmail.com
prezi.com/user/alexsoltesz
Full transcript