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.

starstarstarstarstar_half

* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning 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 Info

Not Your Location? Change

Cost: $ 3,300

Length: 4.0 days (32 hours)

Level:

Next Available Classes:

Schedule select
13
Mar
Monday
9:30 AM ET -
5:30 PM ET
Available
Schedule select
15
May
Monday
9:30 AM ET -
5:30 PM ET
Available
Loading...