IBM InfoSphere Advanced QualityStage V11.5

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.

 

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

 

Prerequisites

 

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)

 

Objectives

 

Please refer to the course overview

 

Topics

 

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