Audience
Project administrators and ETL developers responsible for data extraction and transformation using DataStage.
Prerequisites
You should have:
- Basic knowledge of Windows operating system
- Familiarity with database access techniques
Duration
4 days.
Course Objectives
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.
Course objectives include:
- 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
Course Content
Introduction to DataStage
Deployment
DataStage Administration
Work with Metadata
Create Parallel Jobs
Access Sequential Data
Partitioning and Collecting Algorithms
Combine Data
Group Processing Stages
Transformer Stage
Repository Functions
Work with Relational Data
Control Jobs