IIBA Baltimore - Data Modeling Levels and Styles

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+ Data Modeling Levels and Styles Loretta Mahon Smith VP of Communications, DAMA International Senior Managing Consultant, IBM

description

Overview of data modeling for a BA Audience

Transcript of IIBA Baltimore - Data Modeling Levels and Styles

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Data Modeling Levels and Styles

Loretta Mahon SmithVP of Communications, DAMA International

Senior Managing Consultant, IBM

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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

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+Agenda

• Why a Model?

• How Are Models Different

• Styles of Modeling

• The Requirements to Modeling

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+The Ah-Ha Moment

Most people

DON’T

like to read or write!

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+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?

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+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

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+Rich in meaning …

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+Level of Detail

Greater D

etail Conceptual

Logical

Physical

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+Scope

Operational Systems

Master & Reference Systems

Warehouse Systems

Reporting or Analytical Systems

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+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.

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+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

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+Requirements to Model

Modeling Baseball Cards: A Case Study

by David C. Hay Published: July 1, 2005

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+Q & A

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Thank you!