IBM InfoSphere QualityStage Essentials v11.5

IBM Course Code: KM213G

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.

GK# 3928 Vendor# KM214G

Vendor Credits:

Group Training

Group Training

Live expert-led training for your team or entire organization that can be customized to fit your exact needs.

No matching courses available.

Start learning as soon as today! Click Add To Cart to continue shopping or Buy Now to check out immediately.

Access Period:

Scheduling a custom training event for your team is fast and easy! Click here to get started.

Who Should Attend?

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

Course Outline

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. Investigate

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

Download course details