IBM InfoSphere Advanced QualityStage V11.5

COURSE OUTLINE:

Description

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.

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 v11.5ï¿½ (or have equivalent experience)
Familiarity with Windows and a text editor
Familiarity with elementary statistics and probability concepts (desirable but not essential)

ï¿½

Learning Objectives

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

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