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Course Outline
Advanced Transformation Components
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Implementing reusable transformation patterns
Parameters, Variables, and Job-Centric Design
- Managing runtime variables and scope
- Parameterizing transformations for flexibility
- Structuring parent-child job hierarchies
Database Integration and Lookup Optimization
- Utilizing advanced lookup steps
- Implementing effective caching strategies
- Designing efficient join operations
Integration with Files, APIs, and External Systems
- Processing JSON and XML formats
- Consuming REST and SOAP services
- Managing streaming and batch loads
Error Handling and Data Quality Assurance
- Capturing and routing errors appropriately
- Applying data validation patterns
- Implementing auditing and logging mechanisms
Core Performance Tuning Techniques
- Optimizing step design for efficiency
- Considering memory and threading impacts
- Identifying and resolving performance bottlenecks
Introduction to Repository-Based Development
- Utilizing the Pentaho repository
- Managing versions effectively
- Adopting team collaboration best practices
Deployment and Migration Procedures
- Promoting jobs across different environments
- Managing configuration settings
- Applying operational best practices
Summary and Future Directions
Requirements
- A solid grasp of ETL fundamentals
- Practical experience with Pentaho Data Integration
- Familiarity with core data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals aiming to deepen their PDI competencies
21 Hours
Testimonials (1)
It's a hands-on session.
