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:
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
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)
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
If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. It's a cost effective option.
Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.