IBM InfoSphere Advanced QualityStage V11.5

Course information
Price: € 2,595.00 Excl. VAT
Day(s): 4
Course Code: KM413G
GTC: 28
Delivery Method: Virtual Learning

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.

Pre-Requisites

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)

Content

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

Objectives

Please refer to the course overview

Target 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

Virtual Learning Schedule

It is possible to increase our virtual classroom deliveries so if you require a date please contact us

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