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Duration 21 hours
Course Outline
Advanced Transformation Components
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Developing reusable transformation patterns
Parameters, Variables, and Job-Centric Design
- Understanding runtime variables and scoping
- Parameterizing transformations for flexibility
- Structuring parent-child jobs
Database Integration and Lookup Techniques
- Implementing advanced lookup steps
- Employing effective caching strategies
- Designing efficient joins
Integration with Files, APIs, and External Systems
- Processing JSON and XML data
- Consuming REST and SOAP services
- Managing streaming and batch loads
Error Management and Data Quality Assurance
- Capturing and routing errors appropriately
- Applying data validation patterns
- Implementing auditing and logging mechanisms
Essentials of Performance Optimization
- Refining step design for better efficiency
- Considering memory and threading impacts
- Identifying and resolving performance bottlenecks
Foundation of Repository-Based Development
- Leveraging the Pentaho repository
- Managing versions of assets
- Establishing team collaboration workflows
Deployment and Migration Methodologies
- Transferring jobs across different environments
- Managing configuration settings
- Following operational best practices
Wrap-up and Future Pathways
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 looking to advance their PDI skills
Testimonials (1)
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