IBM InfoSphere Advanced QualityStage V11.5 KM413G

Duration: 
3 days
Codes: 
KM413G
Versions: 
V11.5

Overview

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.

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

Skills Gained

Please refer to the course overview

Prerequisites

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)

Course Outline

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

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