Description

This course teaches 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.

Audience

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

Objectives

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

Course Overview

Data Quality Issues
- Listing the common data quality contaminants
- Describing data quality processes
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
- 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 record8. Two-Source Match
- Building a QualityStage job to match data using a reference match

Prerequisites

Participants should have:
• 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.

IBM InfoSphere QualityStage Essentials v11.5 Virtual Classroom Live September 25, 2017

Price: $2,800

Enroll today to reserve your spot!

Description

Course Overview

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