IBM InfoSphere QualityStage Essentials v11.5 (KM213G) » zur vollständigen Seminarliste
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.
Alle IBM Trainings werden mit Original IBM Schulungsunterlagen angeboten und finden in Kooperation mit dem von Arrow ECS autorisierten IBM Schulungspartner esciris statt.
Kurs-Id: IBM_KM213G
Seminarinhalt
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
Informationen
Zielgruppe
Data Analysts responsible for data quality using QualityStage.
- Data Quality Architects
- Data Cleansing Developers
Vorkenntnisse
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.
Termine
Hinweis
Das Training findet auf Deutsch statt.