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Duration 21 hours
Course Outline
Advanced Transformation Building Blocks
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Implementing reusable transformation patterns
Parameters, Variables, and Job-Oriented Design
- Runtime variables and scoping mechanisms
- Parameterizing transformations for flexibility
- Structuring parent-child job relationships
Database Integration and Lookup Strategies
- Utilizing advanced lookup steps
- Implementing effective caching strategies
- Designing efficient joins
Interacting with Files, APIs, and External Systems
- Processing JSON and XML data
- Interfacing with REST and SOAP services
- Managing streaming and batch loads
Error Handling and Data Quality Techniques
- Capturing and routing errors accurately
- Applying data validation patterns
- Maintaining comprehensive auditing and logs
Performance Tuning Essentials
- Optimizing step design for efficiency
- Considerations for memory usage and threading
- Identifying and resolving performance bottlenecks
Introduction to Repository-Based Development
- Utilizing the Pentaho repository
- Managing versions of assets
- Adopting team collaboration best practices
Deployment and Migration Practices
- Promoting jobs across different environments
- Managing configurations
- Following operational best practices
Summary and Next Steps
Requirements
- A solid grasp of ETL fundamental concepts
- Practical experience with Pentaho Data Integration
- Familiarity with core data warehousing principles
Target Audience
- ETL Developers
- Data Engineers
- Technical specialists aiming to deepen their PDI capabilities
Testimonials (1)
It's a hands-on session.
