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Data warehouseconceptsandarchitecture
- 1. Data Warehouse
Concepts
&
Architecture
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- 2. Data Warehouse Concepts
Topics To Be Discussed:
• Why Do We Need A Data Warehouse ?
• The Goal Of A Data Warehouse ?
• What Exactly Is A Data Warehouse ?
• Comparison Of A Data Warehouse And
An Operational Data Store.
• Data Warehouse Trends.
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- 3. Data Warehouse Concepts
Why Do We Need A Data Warehouse ?
We Can Only
See - What We
Can See !
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- 4. Data Warehouse Concepts
Why Do We Need A Data Warehouse ?
BETTER !
FASTER ! FUNCTIONALLY COMPLETE !
CHEAPER !
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- 5. Data Warehouse Concepts
Data Warehouse Development Perspective
Data Driven Vs. Function Driven
A/P
O/P
Order
Processing
Data
EIS
Data
DSS
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- 6. Data Warehouse Concepts
What Do We Need To Do ?
Use Operational Legacy Systems’ Data:
To Build Operational Data Store,
That Integrate Into Corporate Data Warehouse,
That Spin-off Data Marts.
Some May Tell You To Develop These In Reverse!
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- 7. Data Warehouse Concepts
Our Goal for A Data Warehouse ?
• Collect Data-Scrub, Integrate & Make It Accessible
• Provide Information - For Our Businesses
• Start Managing Knowledge
• So Our Business Partners Will Gain Wisdom !
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- 8. Data Warehouse Concepts
Data Warehouse Definition
A Data Warehouse Is A Structured Repository
of Historic Data.
It Is Developed in an Evolutionary Process
By Integrating Data From Non-integrated
Legacy Systems.
It Is Usually:
• Subject Oriented
• Integrated
• Time Variant
• Non-volatile
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- 9. Data Warehouse Concepts
Subject Oriented
Data is Integrated and Loaded by Subject
Cust 2001
2003
Prod D/W
Data
2002
O/P
2002
A/R
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- 10. Data Warehouse Concepts
Time Variant
Operational System Data Warehouse
• View of The Business • Designated Time Frame
Today (3 - 10 Years)
• Operational Time Frame • One Snapshot Per Cycle
• Key Need Not Have Date • Key Includes Date
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- 11. Data Warehouse Concepts
Integrated
Operational Systems
Order Processing Order ID = 10
D/W
Accounts Receivable Order ID = 12
Order ID = 16
Product Management Order ID = 8
HR System Sex = M/F
D/W
Payroll Sex = 1/2
Sex = M/F
Product Management Sex = 0/1
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- 12. Data Warehouse Concepts
Non-Volatile
Operational System Data Warehouse
• “CRUD” Actions • No Data Update
Insert
Read
Load
Create
Read Read
Update Replace Read
Delete Read
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- 13. Data Warehouse Concepts
Data Warehouse Environment Architecture
Contains Integrated Data From Multiple Legacy Applications
Update
A/P
Insert Data
Load Mart
O/P
Integration Read
ODS
Replace
Pay Data
Criteria Mart
All Or Part Delete
Of System of
Mktg ria
Record Data
C rite
d
L oa
HR e
o us Data
a reh Mart
A/R W D/W Load Loads
a ta
D
Best System of Read D/W
Record Data
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- 14. Data Warehouse Concepts
Meta Data - Map of Integration
The Data That Provides the “Card Catalogue” Of
References For All Data Within The Data Warehouse
System of Record
Data Source
D/W Structure
Source Data Structure
Definition
Allowable
Domains Aliases
Data Relationships
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- 15. Data Warehouse Concepts
ODS Vs. Data Warehouse
Operational Data Store Data Warehouse
Characteristics: Data Focused Integration Subject Oriented
From Transaction Processing Integrated
Focused Systems Non-Volatile
Tim Variant
e
Age Of The Data: Current, Near Term Historic
(Today, Last W eek’s) (Last M onth, Qtrly, Five
Years)
Prim Use:
ary Day-To-Day Decisions Long-Term Decisions
Tactical Reporting Strategic Reporting
Current Operational Results Trend Detection
Frequency Of Load: Twice Daily , Daily, W eekly W eekly, M onthly, Quarterly
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- 16. Data Warehouse Concepts
Building The Data Warehouse
Tasks Deliverables
• Define Project Scope • Scope Definition
• Define Business Reqmts • Logical Data Model
• Define System of Record • Physical Database Data
Data Model
• Define Operational Data • Operational Data Store
Store Reqmts Model
• Map SOR to ODS • ODS Map
• Acquire / Develop • Extract Tools and
Extract Tools Software
• Extract Data & Load ODS • Populated ODS
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- 17. Data Warehouse Concepts
Building The Data Warehouse
(Continued)
Tasks Deliverables
• Define D/W Data Reqmts • Transition Data Model
• Map ODS to D/W • D/W Data Integration Map
• Document Missing Data • To Do Project List
• Develop D/W DB Design • D/W Database Design
• Extract and Integrate D/W • Integrated D/W Data
Data Extracts
• Load Data Warehouse • Initial Data Load
• Maintain Data Warehouse • On-going Data Access
and Subsequent Loads
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- 18. Data Warehouse Concepts
Relationship Among Data Warehouse Data Models
Business Business
Partner Business Requirements Requirements
Knowledge Logical
& Wisdom Model
Data
Warehouse Strategic
Validation Business
Structured
of Current Physical Requirements
Model Requirements
Data
Operational
Data Store
Physical Tactical Business
Data Model Reqmts & Structures
Load
Current Data Whse
Database Requirements
Current Structure
Physical Transition
Model Model
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- 19. Data Warehouse Concepts
Sources of Data Warehouse Data
Archives
(Historic Data)
Current Systems
of Record
(Recent History)
Enterprise
Data Warehouse
Operational
Transactions
(Future Data Source)
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- 20. Data Warehouse Concepts
Appropriate Uses of Data Warehouse Data
• Produce Reports For Long Term Trend Analysis
• Produce Reports Aggregating Enterprise Data
• Produce Reports of Multiple Dimensions
(Earned revenue by month by product by branch)
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- 21. Data Warehouse Concepts
Inappropriate Uses of Data Warehouse Data
• Replace Operational Systems
• Replace Operational Systems’ Reports
• Analyze Current Operational Results
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- 22. Data Warehouse Concepts
Levels of Granularity of Data Warehouse Data
•Atomic (Transaction)
•Lightly Summarized
•Highly Summarized
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- 23. Data Warehouse Concepts
Options for Viewing Data
• Text
9 0
8 0
7 0
6 0
5 0
• 4
3
2
1
0
0
0
0
0
1 s t 2 n d 3 rd 4 th
Q tr Q tr Q tr Q tr
•
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- 24. Data Warehouse Concepts
Next Steps In Data Warehouse Evolution
• Use It - Analyze Data Warehouse Data
• Determine Additional Data Requirements
• Define Sources For Additional Data
• Add New Data (Subject Areas) to
Data Warehouse
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- 25. Data Warehouse Concepts
Future Trends In Data Warehouse
• Increased Data Mining
Exploration
Prove Hypothesis
• Increase Competitive Advantage
(i.e., Identify Cross-selling Opportunities)
• Integration into Supply Chain & e-Business
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- 26. Data Warehouse Concepts
Summary
A Data Warehouse Is A Structured Repository
of Historic Data.
It Is: • Subject Oriented
• Integrated
• Time Variant
• Non-volatile
It Contains:
• Business Specified Data,
To Answer Business Questions
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- 27. Data Warehouse Concepts
Questions and Answers
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