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.

Czas trwania

4 dni

cena szkolenia netto

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Kod szkolenia

KM413G

Profil uczestnika

• 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

Agenda

• 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

Wymagane przygotowanie uczestników

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)