Overview

This KM413G: IBM InfoSphere Advanced QualityStage v11.5 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.

Skills Covered

Please refer to course overview

Who Should Attend

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

Course Curriculum

Prerequisites

  • 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)

Download Syllabus

Course Modules