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Course Outline
Introduction to DataStage
- Overview of the ETL process.
- Understanding DataStage architecture.
- Key components of DataStage.
DataStage Administration
- Installation and configuration.
- User and security management.
- Project setup and environment management.
- Job scheduling and management.
- Backup and recovery procedures.
Data Extraction Techniques
- Connecting to various data sources.
- Extracting data from databases, flat files, and external sources.
- Best practices for data extraction.
Data Transformation with DataStage
- Understanding the DataStage Designer.
- Working with different stage types.
- Implementing business logic in transformations.
- Advanced data transformation techniques.
Data Loading and Integration
- Loading data into target systems.
- Ensuring data quality and integrity.
- Error handling and logging.
Performance Tuning and Optimization
- Best practices for performance tuning.
- Resource management.
- Job sequencing and parallelism.
Advanced Topics
- Working with DataStage Director.
- Debugging and troubleshooting.
Summary and Next Steps
Requirements
- Foundational knowledge of database concepts.
- Familiarity with SQL and data warehousing principles.
Target Audience
- IT professionals.
- Database administrators.
- Developers.
35 Hours
Testimonials (1)
Hands on exercises. Class should have been 5 days, but the 3 days helped to clear up a lot of questions that I had from working with NiFi already
