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Course Outline
Advanced Transformation Construction
- Handling complex data types.
- Managing fields, metadata, and dynamic structures.
- Developing reusable transformation patterns.
Parameters, Variables, and Job-Centric Design
- Runtime variables and scoping mechanisms.
- Parameterization of transformations.
- Structuring parent-child job relationships.
Database Integration and Lookup Methodologies
- Utilizing advanced lookup steps.
- Implementing efficient caching strategies.
- Designing optimized join operations.
Interaction with Files, APIs, and External Systems
- Processing JSON and XML data.
- Invoking REST and SOAP services.
- Managing streaming and batch data loads.
Error Management and Data Quality Assurance
- Capturing and routing error messages.
- Establishing data validation patterns.
- Implementing auditing and logging protocols.
Core Performance Optimization
- Refining step design for efficiency.
- Considering memory allocation and threading.
- Identifying and resolving performance bottlenecks.
Overview of Repository-Based Development
- Leveraging the Pentaho repository.
- Implementing version control strategies.
- Adopting collaborative team practices.
Deployment and Migration Workflows
- Promoting jobs across different environments.
- Managing configuration settings.
- Following operational best practices.
Conclusion 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 looking to expand their PDI expertise.
21 Hours
Testimonials (1)
It's a hands-on session.
