This course is not scheduled. Inquire about Onsite training at your facility.
Overview
| Course code | DX736 | Skill level | Basic |
|---|---|---|---|
| Duration | 4.0 days | Delivery type | Classroom
(Hands-on labs) |
| Course type | Public or Private on-site | ||
| Public price | USD $3,500.00 plus tax | ||
This course was formerly course number QS420.
Get the training and hands-on experience necessary to:
- condition non-name/address data
- view and interpret QualityStage reports and data files to optimize a QualityStage application's performance
- use advanced matching features to approach a multitude of data re-engineering challenges
This course builds on the Essentials course by focusing on development best practices: for the creation of custom rule sets, programming in pattern action language, testing the accuracy of and optimizing rule sets. Apply advanced matching concepts and best practices, including two file and array matching.
Course Materials
The course materials address Advanced QualityStage - Version 7.x. and are provided during course delivery.
Hands-On Labs
Several labs are included throughout the delivery to address and reinforce the skills discussed.
Audience
This is a basic course for programmer analysts, technical analysts, systems analysts, and Database Administrators (DBA).
Prerequisites
You should complete:
- QualityStage Essentials
You should also have:
- A strong technical aptitude
- Knowledge of Windows and client/server concepts
- Programming skills, which are helpful, but not required
Skills taught
- Program in Pattern Action Language
- Test and optimize rule sets directly in the pattern action file
- Implement advanced match concepts and processes, including two file matching and array matching
Course outline
- Review of QualityStage essentials
- Structure of a rule set
- Creation of a custom rule set: custom rule set development cycle
- Creation of a custom rule set: copying the rule template
- Creation of a custom rule set: the influence of the SEPLIST/ STRIPLIST on data context and meaning
- Initial investigation of the course data set
- Development of a classification schema and adding entries to the classification table
- Review of the patterns generated/refining classification table
- Introduction to pattern action language command set
- Development of basic pattern action sets
- Additional pattern action language commands
- Use of subroutines in pattern action language
- Investigation of standardize results
- Refining pattern action sets to increase efficacy and efficiency
- Introduction to advanced match concepts
- Application of advanced match concepts
- Creation of custom match extracts
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