IBM InfoSphere Advanced QualityStage V11.5

In this course, you will be introduced to 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. You will build a reference match to relate the cleansed source data to the existing target data.

Overview

  • Data cleansing process within IBM InfoSphere QualityStage
  • 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

Target Audience

  • 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

  • Have completed IBM InfoSphere QualityStage Essentials v11.5æ (or have equivalent experience)
  • Familiarity with Windows and a text editor
  • Familiarity with elementary statistics and probability concepts (desirable but not essential)

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Expected Duration

4 day

Course Objectives

Labs

SUBSCRIPTION COST


$2,995.00

 

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