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

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

Administración y programación bases de datos

Disponible en formato e-learning

Disponible en formato presencial

Disponible en formato a distancia

Subvención disponible
A través de Fundae, cumpliendo requisitos.

Duración
20 horas

  • Dificultad 50% 50%
  • Nivel alcanzado 80% 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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