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KM413G - IBM InfoSphere Advanced QualityStage v11.5

Overview

Duration: 3 days

This 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.

Objectives

Please refer to course overview

Content

  • 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

Audience

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

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)

Certification

This course is not associated with any Certification.

Schedule

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