IBM InfoSphere Advanced QualityStage V11.5 SPVC - 2M413G

Description

This course will step you through the QualityStage data cleansing process. You will transform an unstructured data source into a format suitable for loading into an existing data target. You will cleanse the source data by building a customer rule set that you create and use that rule set to standardize the data. You will next build a reference match to relate the cleansed source data to the existing target data.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. http://www.ibm.com/training/terms

After completing this course you should be able to:
Modify rule sets
Build custom rule sets
Standardize data using the custom rule set
Perform a reference match using standardized data and a reference data set
Use advanced techniques to refine a Two-source match

Aim

Please refer to the course overview

Participant requirements

Participants should have:
Compled the QualityStage Essentials course, or have equivalent experience
familiarity with Windows and a text editor
familiarity with elementary statistics and probability concepts (desirable but not essential)

Participant

The intended audience for this course are:
QualityStage programmers
Data Analysts responsible for data quality using QualityStage
Data Quality Architects
Data Cleansing Developers
Data Quality Developers needing to customize QualityStage rule sets