Vue générale
| Code cours | KM400FR | Niveau de compétence | Advanced |
|---|---|---|---|
| Durée | 4.0 Jour(s) | Type de formation | Salle de cours
(Travaux pratiques) |
| Type de cours | Public/Privé | ||
| Prix |
EUR 2 700,00 HT
EUR 3 229,20 TTC |
This course works with Information Server V8.5
This course is designed to introduce advanced job development techniques in DataStage V8.5.
Voir ce cours dans d'autres pays
Schémas de filière:
Participants
This course is for experienced DataStage developers seeking training in more advanced DataStage techniques and who seek an understanding of the parallel framework architecture.
Pré-requis
You should complete:
- DataStage Essentials course or equivalent
- and have at least one year of experience developing parallel jobs using DataStage.
Objectifs
- Describe the parallel processing architecture and development and runtime environments
- Describe the compile process and the runtime job execution process
- Describe how partitioning and collection works in the parallel framework
- Describe sorting and buffering in the parallel framework and optimization techniques
- Describe and work with parallel framework data types
- Create reusable job components
- Use loop processing in a Transformer stage
- Process groups in a Transformer stage
- Extend the functionality of DataStage by building custom stages and creating new Transformer functions
- Use Connector stages to read and write from relational tables and handle errors in Connector stages
- Process XML data in DataStage jobs using the XML stage
- Design a job that processes a star schema database with Type 1 and Type 2 slowly changing dimensions
- List job and stage best practices
Contenu
- Unit 1 - Introduction to the Parallel Framework Architecture
- Unit 2 - Compilation and Execution
- Unit 3 - Partitioning and Collecting Data
- Unit 4 - Sorting Data
- Unit 5 - Buffering in Parallel Jobs
- Unit 6 - Parallel Framework Data Types
- Unit 7 - Reusable components
- Unit 8 - Advanced Transformer Logic
- Unit 9 - Extending the Functionality of Parallel Jobs
- Unit 10 - Accessing Databases (start if there is time)
- Unit 11 - Processing XML Data
- Unit 12 - Slowly Changing Dimensions Stages
- Unit 13 - Best Practices