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IBM InfoSphere Advanced QualityStage V11.5 (KM413G)     » zur vollständigen Seminarliste

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.

Learning Journeys or Training Paths that reference this course:

Alle IBM Trainings werden mit Original IBM Schulungsunterlagen angeboten und finden in Kooperation mit dem von Arrow ECS autorisierten IBM Schulungspartner esciris statt.

Kurs-Id: IBM_KM413G


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


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.


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)


Das Training findet auf Deutsch statt.