IBM InfoSphere QualityStage Essentials v11.7

Course overview

This course teaches how to build QualityStage parallel jobs that investigate, standardize, match, and consolidate data records.

This course teaches how to build QualityStage parallel jobs that investigate, standardize, match, and consolidate data records. This course covers common data quality issues, QualityStage architecture, QualityStage clients and their functions, importing metadata, running jobs and reviewing results, building Investigate jobs, the Standardize stage and rule sets, identifying matching records and applying multiple Match passes, building a Survive job, and using a Two-Source match.

Students will gain experience by building an application that combines customer data from three source systems into a single master customer record.

Who should attend

• Data analysts responsible for data quality using QualityStage • Data quality architects • Data cleansing developers

Prerequisites

Participants should have the following skills: • Familiarity with the Windows Operating System • Familiarity with a text editor • Helpful, but not required: Some understanding of elementary statistics principles such as weighted averages and probabilities.

Delivery formats

• • Instructor-led online (virtual classroom)
• • Instructor-led on-site at your premises
• • Self-paced online training
• • Private/closed group delivery for corporate teams

Digital badge

Delegates completing this course are eligible for an IBM digital badge, issued via Credly. View the badge

Related and follow-on courses

• 0G51BG — Statistical Analysis Using IBM SPSS Statistics (V26) (Intermediate)
• 0A069G — IBM SPSS Modeler Foundations (V18.2) (Basic)
• 0A079G — Introduction to Machine Learning Models Using IBM SPSS Modeler (V18.2) (Basic)
• 0G53BG — IBM SPSS Statistics Essentials (V26) (Basic)