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• IBM InfoSphere Advanced QualityStage V11.5 KM413G

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)