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Course Outline
Advanced Transformation Components
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Developing reusable transformation patterns
Parameters, Variables, and Job-Oriented Architecture
- Runtime variable management and scoping
- Parameterization of transformations
- Parent-child job structures
Database Integration and Lookup Strategies
- Advanced lookup step implementations
- Strategic caching approaches
- Designing efficient joins
Interacting with Files, APIs, and External Systems
- Processing JSON and XML formats
- Invoking REST and SOAP services
- Streaming versus batch loading techniques
Error Management and Data Quality Methods
- Capturing and directing error flows
- Establishing data validation patterns
- Auditing and logging protocols
Performance Optimization Fundamentals
- Refining step design for speed
- Considerations for memory and threading
- Identifying system bottlenecks
Overview of Repository-Based Development
- Leveraging the Pentaho repository
- Version control practices
- Collaborative team workflows
Deployment and Migration Procedures
- Migrating jobs across environments
- Configuration management
- Operational best practices
Conclusion and Future Directions
Requirements
- A solid grasp of ETL fundamentals
- Prior experience working with Pentaho Data Integration
- Foundational knowledge of data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals seeking to expand their PDI expertise
21 Hours
Testimonials (1)
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