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Course Outline
Advanced Transformation Components
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Implementing reusable transformation patterns
Parameters, Variables, and Job-Centric Design
- Managing runtime variables and their scope
- Parameterizing transformation logic
- Structuring parent-child job relationships
Database Connectivity and Lookup Strategies
- Utilizing advanced lookup steps
- Applying effective caching strategies
- Designing efficient joins
Integration with Files, APIs, and External Systems
- Processing JSON and XML data
- Interacting with REST and SOAP services
- Managing streaming and batch loading operations
Error Management and Data Quality Assurance
- Capturing and routing error events
- Establishing data validation patterns
- Implementing auditing and logging mechanisms
Performance Optimization Fundamentals
- Refining step design for better performance
- Considering memory usage and threading
- Identifying and resolving bottlenecks
Repository-Based Development Introduction
- Leveraging the Pentaho repository
- Managing version control
- Fostering team collaboration practices
Deployment and Migration Workflows
- Promoting jobs across different environments
- Managing configuration settings
- Adhering to operational best practices
Conclusion and Future Directions
Requirements
- A solid grasp of ETL fundamentals
- Practical experience using Pentaho Data Integration
- Foundational knowledge of data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical specialists aiming to broaden their PDI expertise
21 Hours
Testimonials (1)
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