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IBM InfoSphere Advanced QualityStage V11.5

  • Course Code KM413G
  • Duration 4 days

Additional Payment Options

  • GTC 28

    GTC, Global Knowledge Training Credit, please contact Global Knowledge for more details

Public Classroom

Public Classroom Price

eur2,595.00

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Course Delivery

This course is available in the following formats:

  • Company Event

    Event at company

  • Public Classroom

    Traditional Classroom Learning

  • Virtual Learning

    Learning that is virtual

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Course Overview

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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.

Course Schedule

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Target Audience

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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

Course Objectives

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Please refer to the course overview

Course Content

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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

Course Prerequisites

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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)