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Course Outline
Advanced Building Blocks for Transformations
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Developing reusable transformation patterns
Parameters, Variables, and Job-Oriented Architecture
- Managing runtime variables and scope
- Implementing parameterized transformations
- Structuring parent-child job hierarchies
Database Integration and Lookup Strategies
- Utilizing advanced lookup steps
- Implementing effective caching strategies
- Designing efficient join operations
Integration with Files, APIs, and External Systems
- Processing JSON and XML data formats
- Consuming REST and SOAP web services
- Managing streaming and batch loading processes
Error Handling and Data Quality Techniques
- Capturing and routing error streams
- Applying data validation patterns
- Implementing auditing and logging mechanisms
Essential Performance Tuning
- Optimizing step-level design
- Considerations for memory and threading
- Identifying and resolving performance bottlenecks
Introduction to Repository-Based Development
- Leveraging the Pentaho repository
- Implementing version control
- Adopting team collaboration workflows
Deployment and Migration Best Practices
- Promoting jobs across different environments
- Managing configuration settings
- Adhering to operational best practices
Course Summary and Future Pathways
Requirements
- A solid grasp of ETL fundamentals
- Practical experience with Pentaho Data Integration
- Foundational knowledge of data warehousing principles
Target Audience
- ETL developers
- Data engineers
- Technical professionals aiming to expand their PDI proficiency
21 Hours
Testimonials (1)
It's a hands-on session.
