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Course Outline
Advanced Transformation Foundations
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Developing reusable transformation patterns
Parameters, Variables, and Job-Oriented Architecture
- Runtime variables and scope management
- Parameterizing transformations for flexibility
- Structuring parent-child job relationships
Database Integration and Lookup Strategies
- Advanced lookup step configurations
- Implementing caching strategies
- Designing efficient join operations
Interacting with Files, APIs, and External Systems
- Processing JSON and XML data formats
- Invoking REST and SOAP services
- Managing streaming and batch loads
Error Handling and Data Quality Assurance
- Capturing and routing errors effectively
- Establishing data validation patterns
- Implementing auditing and logging mechanisms
Performance Optimization Essentials
- Refining step design for efficiency
- Addressing memory and threading considerations
- Identifying and resolving bottlenecks
Getting Started with Repository-Based Development
- Leveraging the Pentaho repository
- Managing versions
- Adopting team collaboration practices
Deployment and Migration Best Practices
- Transitioning jobs across environments
- Managing configurations
- Applying operational best practices
Wrap-Up and Recommended Next Steps
Requirements
- A solid grasp of ETL fundamentals
- Practical experience with Pentaho Data Integration
- Foundational knowledge of data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals seeking to expand their PDI skill set
21 Hours
Testimonials (1)
It's a hands-on session.
