IBM InfoSphere Advanced QualityStage V11.5
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:
Information Server – Developer Role
Objetivos
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
Administración y programación bases de datos
Disponible en formato e-learning
Disponible en formato presencial
Disponible en formato a distancia
Descargar la información del curso
Subvención disponible
A través de Fundae, cumpliendo requisitos.
Duración
20 horas
- Dificultad 50%
- Nivel alcanzado 80%
Dirigido a
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
Conocimientos requeridos
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)
Temario
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
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