IBM InfoSphere DataStage Essentials (v11.5)

This course enables the project administrators and ETL developers to acquire the skills necessary to develop parallel jobs in DataStage. The emphasis is on developers. Only administrative functions that are relevant to DataStage developers are fully discussed. Students will learn to create parallel jobs that access sequential and relational data and combine and transform the data using functions and other job components.

Learning Journeys or Training Paths that reference this course:

Data Integration Architect
Data Integration Developer
Information Analysis – Data Integration Architect
Information Server – Developer Role

Objetivos

Describe the uses of DataStage and the DataStage workflow
Describe the Information Server architecture and how DataStage fits within it
Describe the Information Server and DataStage deployment options
Use the Information Server Web Console and the DataStage Administrator client to create DataStage users and to configure the DataStage environment
Import and export DataStage objects to a file
Import table definitions for sequential files and relational tables
Design, compile, run, and monitor DataStage parallel jobs
Design jobs that read and write to sequential files
Describe the DataStage parallel processing architecture
Design jobs that combine data using joins and lookups
Design jobs that sort and aggregate data
Implement complex business logic using the DataStage Transformer stage
Debug DataStage jobs using the DataStage PX Debugger

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

Project administrators and ETL developers responsible for data extraction and transformation using DataStage.

Conocimientos requeridos

Basic knowledge of Windows operating system
Familiarity with database access techniques

Temario

1. Introduction to DataStage

2. Deployment

3. DataStage Administration

4. Work with Metadata

5. Create Parallel Jobs

6. Access Sequential Data

7. Partitioning and Collecting Algorithms

8. Combine Data

9. Group Processing Stages

10. Transformer Stage

11. Repository Functions

12. Work with Relational Data

13. Control Jobs

Solicita información del curso

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