iiba baltimore - data modeling levels and styles
DESCRIPTION
Overview of data modeling for a BA AudienceTRANSCRIPT
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Data Modeling Levels and Styles
Loretta Mahon SmithVP of Communications, DAMA International
Senior Managing Consultant, IBM
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2
Job History:
T. Rowe Price 1983-2011
IBM 2011-present.
Industry Offices:
Board of Directors, DAMA International, VP Communications
ICCP Certification Council Member.
Presentations:
DAMA International Conferences 1998, 1999, 2000, 2003, 2005 2008 http://www.wilshireconferences.com/MD2008/agenda.html
Information Quality Conference: 2001
DebTECH: 2003, 2004
Publications:
ModernAnalyst Journal http://www.modernanalyst.com
The Data Administration Newsletter http://www.tdan.com
Master Level Certifications:
Certified Data Management Professional (DAMA CDMP – Global)
Certified Business Intelligence Professional (TDWI CBIP – Global)
Certified Computing Professional (ICCP CCP – Global)
Loretta Mahon Smith
Twitter: @SilverData
…the information and views expressed are my own
+Agenda
• Why a Model?
• How Are Models Different
• Styles of Modeling
• The Requirements to Modeling
+The Ah-Ha Moment
Most people
DON’T
like to read or write!
+What is Data?
Data is the evidence of:
What has been done. What can be done. What will be done.
A data model illustrates the story of an enterprise.
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How they look!
…and how you interpret them.
But what makes data
models different?
+Value of a Model.
Standardized & Automated
Described Requirements Visually
Costs Less to Fix!
“.. for any (or all) complex products there is a structure, a set of descriptive representations that are relevant for creating the complex product such that it is consistent with the intent of the end owner of the product and that are necessary for changing the product once it is instantiated. “ ~ John Zachman
ModernAnalyst
+Rich in meaning …
+Level of Detail
Greater D
etail Conceptual
Logical
Physical
+Scope
Operational Systems
Master & Reference Systems
Warehouse Systems
Reporting or Analytical Systems
+Technique: Model Design Style
Relational Model Hybrid Dimensional Model Normalized
OLTP, Warehousing
Maintenance & load oriented
Small footprint operational standardized reporting.
Dimensionalized
History Intensive
Warehousing
Highly scaleable.
Denormalized
Ad Hoc Reporting, Data Mining, Analytical/BI oriented.
+Entity TYPES
Relational Model Hybrid Dimensional Model
Base
Associative
Detail
Small footprint operational
standardized reporting.
AuthorsDavid Hay
Steve Hoberman
Hub
Link
Satellites
AuthorsDan Linstedt
Fact
Dimension
Bridge
AuthorsRalph Kimball
Christopher Adamson
+Requirements to Model
Modeling Baseball Cards: A Case Study
by David C. Hay Published: July 1, 2005
+Q & A
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Thank you!