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Data Warehouse Models

Presented By

Dr. Debashis Parida

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Data Warehouse Architecture

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Decision Support

Information technology to help the knowledge

worker (executive, manager, analyst) make faster &

better decisions

On-line analytical processing (O!") is an element

of decision support systems (#$$)

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Three-Tier Decision Support

Systems %arehouse database server !lmost always a relational #'$, rarely flat files

O!" servers elational O!" (O!") 'ultidimensional O!" ('O!")

lients *uery and reporting tools !nalysis tools #ata mining tools

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The Complete Decision SupportSystem

Information Sources Data WarehouseServer

(Tier 1)

OLAP Servers(Tier 2)

Clients(Tier 3)

Oerational

D!"s

Semistructure#

Sources

extract

transform

load

refresh

etc.

Data $arts

Data

Warehouse

e%&%' $OLAP

e%&%' OLAP

serve

Analsis

*uer+eortin&

Data $inin&

serve

serve

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Data Warehouse vs Data

Marts Enterprise warehouse+ collects all information aboutsubects that span the entire organiation

Data Marts+ #epartmental subsets that focus onselected subects

Virtual warehouse+ views over operational dbs

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Warehousin" Data StoresSource Data

(Operational & External)

Data Staging Data Warehouse Data Mart

Ranges from application-orientedto subect-oriented

Subect and source oriented Subect-oriented Subect-oriented !ithinapplication domain

Ranges from non-integrated tointegrated

"ntegration as practical "ntegrated "ntegrated !ithin applicationdomain

#urrent$ ma% hae limited histor%and'or archiing

ime-ariant based onfreuenc% of extraction

ime-ariant ime-ariant

*olatile$ continuousl% updated +on-olatile +on-olatile +on-olatile

Ranges from application o!nedto enterprise managed

,istoricall% and atomicall%focused

Enterprise focused pplication focused

Optimi.ed for transactionprocessing

Optimi.ed for data capture Optimi.ed for distribution$uer%$ and reporting

Optimi.ed for decision support

Ranges from applicationspecified to architected

Designed as means to captureand retain atomic leel data

rchitected as a long-terminformation asset

rchitected as a point solutionto

a business need

Most commonl% a legac%problem

Extended !ith each incrementof

!arehouse deelopment

"mplemented !ith aneolutionar%

approach

Rapidl% deplo%ed andredeplo%ed

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#

Warehouse Models $

%perators #ata 'odels relations

stars & snowflakes

cubes Operators

slice & dice

roll-up, drill down

other

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Modelin" Techni'ues$ubect !rea 'odeling

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()

Modelin" Techni'ues.act/*ualifier 'odeling

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((

Modelin" Techni'ues$tate 0ransition 'odeling

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Modelin" Techni'ues1 'odeling

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Modelin" Techni'ues

#imensional 'odeling

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Model %vervie*

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Thank You