2. Oracle Warehouse Builder 10g Ensure Data Quality
Session id: 40153
Oracle Warehouse Builder 10g Ensure Data Quality
Ali El Kortobi, Senior Development Director Mark Van de Wiel, Principal Product Manager
Oracle Corporation

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5. Agenda Data Integration Oracle Warehouse Builder 10g Data Quality
Demonstration
Summary
Q&A

6. What is the need for Data Integration?
Provide access to business data
Analysis
Summaries
Ad hoc query
Forecasts
Predictions
Define the architecture

7. How do you spend System build time (Gartner)?
Provide access to business data
Analysis
Summaries
Ad hoc query
Forecasts
Predictions
Define the architecture }
20%
80%

8. What does Data Integration architecture consist of?
Consolidate data
Across systems
Define the target structures
Understandable (consolidated) presentation
Optimized for query retrieval
Set up the environment
Manage the environment
Maintain the environment

9. What does Oracle Warehouse Builder 10g (OWB10g) add?
Mission: to solve all data integration needs by protecting and leveraging investments in the Oracle database and other Oracle products

10. What Data Integration areas are covered by OWB10g?
Consolidate data
Across systems
Define the target structures
Understandable (consolidated) presentation
Optimized for query retrieval
Set up the environment
Manage the environment
Maintain the environment } }

11. What is the benefit of leveraging the Oracle database?
OWB10g leverages Oracle database:
Performance
Scalability
Security
Availability
OLAP
ETL
Data Mining

12. Then, are you experiencing any problem?
Users see invalid results!

13. Why do you run into Data Quality Issues?
Different systems
End-user input
Different interpretations
Case sensitivity
Typos
No standardization
Source system bugs
Etc.

14. Can you show how OWB10g can help?
D E M O N S T R A T I O N
Can you show how OWB10g can help?

15. Why would you use OWB10g for Data Integration?
One integrated design environment
Import
Transform
Cleanse
Mine
Design
Extract
Load

16. Summary: Version Management
Capture design definitions
High level cascade
Individual definitions
Including dependees
Perform comparisons
Restore definitions
Manage environments
Manage system change

17. Summary: Mapping Debugger
Graphical debugging environment
Debugging features:
Data definition
Data viewing
Breakpoints
Watch points
Error messages
Easy to use
Quick and accurate data flow debugging

18. Summary: Data Quality in ETL
Name and Address
Parsing
Validation against external libraries
Standardization
Augmenting
Certified postal reports
Achieve more accurate Name and Address data

19. Summary: Data Quality in ETL
Match and Merge
Applies to any set of data (not just NA data)
Merged results
Cross-reference results
Infinite set of match rules
Infinite set of merge rules
Names and addresses: enables 'house-holding'
'Fuzzy' matching and merging
Achieve correct results

20. Summary
Oracle Warehouse Builder 10g solves all data integration needs by protecting and leveraging investments in the Oracle database and other Oracle products

21. Q
&
Q U E S T I O N S
A N S W E R S A