This course will step you through the Quality Stage 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.
Please refer to course overview
- 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
- Completed 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)
This course is not associated with any Certification.
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