InfoSphere Advanced QualityStage v11.5 - KM413G

InfoSphere Advanced QualityStage v11.5 - KM413G

Audience

The intended audience for this course includes:

  • 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

Participants should have:

  • Compled a 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)

Duration

4 days.

Course Objectives

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.

Course Content

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

Virtual Courses

ALL of our courses can be delivered virtually. And our Bath public schedule of courses are now available as live virtual sessions, using the popular Zoom Virtual Classroom and remote labs. Delegates can test their access at: www.zoom.us/test

On-Site Courses

Can't attend one of our public classes? Booking for multiple people?

All our courses are available on your site! Delivered for your staff, at your premises.

Contact us to find out more...