IBM InfoSphere Advanced QualityStage V11.5
COURSE OUTLINE:
In this course, you will be introduced to 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. You will build a reference match to relate the cleansed source data to the existing target data.
Audience
- 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
- Have completed IBM InfoSphere QualityStage Essentials v11.5� (or have equivalent experience)
- Familiarity with Windows and a text editor
- Familiarity with elementary statistics and probability concepts (desirable but not essential)
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Learning Objectives
- Data cleansing process within IBM InfoSphere QualityStage
- 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