Oracle Warehouse Builder 10gEnsure Data Quality

Ali El Kortobi, Senior Development DirectorMark Van de Wiel, Principal Product Manager

Oracle Corporation

Session id: 40153

Next Steps….

Recommended sessions– 40152: Oracle's Complete, Integrated BI Technologies– 36715: Life Cycle Management using OWB9i

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Agenda

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

What is the need for Data Integration?

Provide access to business data– Analysis– Summaries– Ad hoc query– Forecasts– Predictions

Define the architecture

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%

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

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

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

What is the benefit of leveraging the Oracle database?

OWB10g leverages Oracle database:– Performance– Scalability– Security– Availability– OLAP– ETL– Data Mining

Then, are you experiencing any problem?

Why do you run into Data Quality Issues?

Different systems End-user input

– Different interpretations– Case sensitivity– Typos

No standardization Source system bugs Etc.

D E M O N S T R A T I O N

Can you show how OWB10g can help?

Why would you use OWB10g for Data Integration?

One integrated design environment

Transform

Cleanse

Mine

Extract Load

DesignImport

Summary: Version Management

Capture design definitions– High level cascade– Individual definitions– Including dependees

Perform comparisons Restore definitions Manage environments

Summary: Mapping Debugger

Graphical debugging environment Debugging features:

– Data definition– Data viewing– Breakpoints– Watch points– Error messages

Easy to use

Summary: Data Quality in ETL

Name and Address– Parsing– Validation against external libraries– Standardization– Augmenting– Certified postal reports

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

Summary

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

AQ&Q U E S T I O N SQ U E S T I O N S

A N S W E R SA N S W E R S