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IBM InfoSphere QualityStage

The IBM InfoSphere QualityStage - Essentials training course teaches how to build QualityStage parallel jobs that investigate, standardize, match, and consolidate data records. You will gain experience by building an application that combines customer data from three source systems into a single master customer record.

The IBM InfoSphere QualityStage - Advanced training 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 to standardize the data. You will next build a reference match to relate the cleansed source data to the existing target data.

In IBM InfoSphere QualityStage - Postal Modules training course, you will learn to build QualityStage jobs that standardize and verify address data. Gain hands-on experience building jobs that use MNS, CASS, WAVES, and AVI stages. Use the AVI stage to standardize multibyte-encoded address data.

By attending IBM InfoSphere QualityStage - Essentials workshop, delegates will learn 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

By attending IBM InfoSphere QualityStage - Advanced workshop, delegates will learn to:

  • Modify rule sets
  • Build a custom rule set
  • Build QualityStage jobs to investigate data quality issues with newly standardized file
  • Match related product and data warehouse records using QualityStage reference matching

By attending IBM InfoSphere QualityStage - Postal Modules workshop, delegates will learn to:

  • Standardize multinational address data including multibyte character data
  • Validate standardized addresses

For IBM InfoSphere QualityStage - Essentials

  • Have Knowledge of:
    • Windows
    • A text editor

For IBM InfoSphere QualityStage - Advanced

  • Attend IBM InfoSphere QualityStage - Essentials training course or have equivalent experience
  • Have familiarity with:
    • Windows
    • A text editor

For IBM InfoSphere QualityStage - Postal Modules

  • Familiarity with Windows
  • Fundamental knowledge of QualityStage

The IBM InfoSphere QualityStage - Essentials classs is ideal for Data Analysts, Quality Architects and Data Cleansing Developers.

The IBM InfoSphere QualityStage - Advanced class is recommended for:

  • Data Analysts responsible for data quality using QualityStage
  • Data Quality Architects
  • Data Cleansing Developers
  • Data Quality Developers needing to customize QualityStage rule sets

The IBM InfoSphere QualityStage - Postal Modules class is recommended for:

  • Data Analysts
  • Data Quality Architects
  • Data Cleansing Developers
  • Data Quality Developers needing to standardize and validate address data

COURSE AGENDA

IBM Infosphere QualityStage - Essentials
(Duration : 4 Days)

1

Data Quality Issues

  • Listing the common data quality contaminants
  • Describing data quality processes
2

QualityStage Overview

  • Describing QualityStage Architecture
  • Describing QualityStage clients and their functions
3

Developing with QualityStage

  • Importing metadata
  • Building DataStage/QualityStage Jobs
  • Running jobs
  • Reviewing results
4

Investigation

  • Building Investigate jobs
  • Using Character Discrete, Concatenate, and Word Investigations to analyze data fields
  • Reviewing results
5

Standardize

  • Describing the Standardize stage
  • Identifying Rule Sets
  • Building jobs using the Standardize stage
  • Interpreting standardize results
  • Investigating unhandled data and patterns
6

Match

  • Building a QualityStage job to identify matching records
  • Applying multiple Match passes to increase efficiency
  • Interpreting and improving Match results
7

Survive

  • Building a QualityStage survive job that will consolidate matched records into a single master record
8

Two-Source Match

  • Building a QualityStage job to match data using a reference match
IBM Infosphere QualityStage - Advanced
(Duration : 3 Days)

1

QualityStage Essentials review

  • QualityStage review
  • Data Quality
  • Master Data Management
  • Investigate
  • Standardize
  • Match
2

Structure of a rule set

  • Rule Sets and Rule Set files
  • Classes and Classification tables
  • Thresholds
  • Dictionary files
  • Pattern action files
  • Optional tables
3

Creation of a Custom Rule Set

  • Custom Rule Set development cycle
  • Investigate data file
  • Parsing
  • SEPLIST/STRIPLIST updates
4

Initial Investigation of Data to Be Standardized

  • Word Investigation
  • Pattern report
  • Token report
5

Classification Table

  • Create the Classification Table
  • Classification schema
  • What to classify
  • Process
  • Resulting Classification File with Legend
  • Pattern review: refining the Classification Table
6

Pattern Action File

  • Pattern Action Language
  • Development of Pattern Action Sets
  • Refining Pattern Action Sets
  • Investigation of Standardized Results
7

Standardization Rules Designer

  • What is Standardization Rules Designer or SRD
  • Using the SRD
  • SRD work areas
  • Rule Set revision and selection
  • Embedded assistance
8

Match Frequency

  • Match frequency job
  • Column mapping
  • Match frequency data set
  • Using match frequencies in a match job
9

Two-Source (Reference Match) Advanced Implementation

  • Create a reference match between standardized product data and warehouse data
  • Refine the match results using the description fields of the standardized product data and the warehouse data.
IBM Infosphere QualityStage - Postal Modules
(Duration : 1 Day)

1

QualityStage standardization process review

2

MNS stage

3

CASS stage

4

WAVES stage

5

AVI stage

6

National Language Support (NLS)

7

Standardize multibyte encoded Japanese addresses

8

AVI stage using Japanese-coded address data

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 6,000 various courses on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting https://www.encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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