IBM InfoSphere Advanced QualityStage V11.5
- Course Code KM413G
- Duration 4 days
Additional Payment Options
GTC, Global Knowledge Training Credit, please contact Global Knowledge for more details
This course is available in the following formats:
Event at company
Traditional Classroom Learning
Learning that is virtual
Request this course in a different delivery format.
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
Please refer to the course overview
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
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)