IBM InfoSphere Advanced QualityStage V11.5 (KM413G) » zur vollständigen Seminarliste
This 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 that rule set to standardize the data. You will next build a reference match to relate the cleansed source data to the existing target data.
Learning Journeys or Training Paths that reference this course:
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Kurs-Id: IBM_KM413G
Seminarinhalt
After completing this course, you should be able to:
• Modify rule sets
• Build custom rule sets
• Standardize data using the custom rule set
• Perform a reference match using standardized data and a reference data set
• Use advanced techniques to refine a Two-source match
Informationen
Zielgruppe
The intended audience for this course are:.
• QualityStage programmers.
• Data Analysts responsible for data quality using QualityStage.
• Data Quality Architects.
• Data Cleansing Developers.
• Data Quality Developers needing to customize QualityStage rule sets.
Vorkenntnisse
Participants should have:
• Compled the QualityStage Essentials course, or have equivalent experience
• familiarity with Windows and a text editor
• familiarity with elementary statistics and probability concepts (desirable but not essential)
Termine
Hinweis
Das Training findet auf Deutsch statt.