IBM Infosphere QualityStage Essentials V11 Training.

IBM Infosphere QualityStage Essentials - v11 Certification Training Course Overview

Enroll for 4-day training IBM Infosphere QualityStage Essentials - v11 course from Koenig Solutions accredited by IBM. This course lets our user to learn how to build QualityStage parallel jobs that investigate, standardize, match, and consolidate data records. Students will gain experience by building an application that combines customer data from three source systems into a single master customer record.

Target Audience:

• Data Analysts responsible for data quality using QualityStage
• Data Quality Architects
• Data Cleansing Developers

Learning Objectives

After completing this course, you will be able to:

•List the common data quality contaminants
•Describe each of the following processes:
Investigation
Standardization
Match
Survivorship
•Describe QualityStage architecture
•Describe QualityStage clients and their functions
•Import metadata
•Build and run DataStage/QualityStage jobs, review results
•Build Investigate jobs
•Use Character Discrete, Concatenate, and Word Investigations to analyze data fields
•Describe the Standardize stage
•Identify Rule Sets
•Build jobs using the Standardize stage
•Interpret standardization results
•Investigate unhandled data and patterns
•Build a QualityStage job to identify matching records
•Apply multiple Match passes to increase efficiency
•Interpret and improve match results
•Build a QualityStage Survive job that will consolidate matched records into a single master record
•Build a single job to match data using a Two-Source match
 
 
 

 

 

IBM Infosphere QualityStage Essentials V11 Training. (Duration : 32 Hours) Download Course Contents

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Course Modules

QualityStage Overview:
  • Describing QualityStage architecture
  • Describing QualityStage clients and their functions
Developing with QualityStage
  • Importing metadata
  • Building DataStage/QualityStage Jobs
  • Running jobs
  • Reviewing results
Investigate
  • Building Investigate jobs
  • Using Character Discrete, Concatenate, and Word Investigations to analyze data fields
  • Reviewing results
Standardize
  • Describing the Standardize stage
  • Identifying Rule Sets
  • Building jobs using the Standardize stage
  • Interpreting standardize results
  • Investigating unhandled data and patterns
Match
  • Building a QualityStage job to identify matching records
  • Applying multiple Match passes to increase efficiency
  • Interpreting and improving Match results
Survive
  • Building a QualityStage survive job that will consolidate matched records into a single master record
Two-Source Match
  • Building a QualityStage job to match data using a reference match
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Course Prerequisites

This course has the following prerequisites:

  • Familiarity with the Windows operating system
  • Familiarity with a text editor
  • Helpful, but not required, would be some understanding of elementary statistics principles such as weighted averages and probability