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Duration 21 hours
Course Outline
Advanced Transformation Building Blocks
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Developing reusable transformation patterns
Parameters, Variables, and Job-Oriented Design
- Implementing runtime variables and managing scoping
- Parameterizing transformations for flexibility
- Structuring parent-child job hierarchies
Database Integration and Lookup Strategies
- Utilizing advanced lookup steps
- Implementing effective caching strategies
- Designing efficient join operations
Interfacing with Files, APIs, and External Systems
- Processing JSON and XML data formats
- Integrating with REST and SOAP services
- Managing streaming and batch loading processes
Error Handling and Data Quality Techniques
- Capturing errors and routing them appropriately
- Applying data validation patterns
- Implementing auditing and logging mechanisms
Performance Tuning Essentials
- Optimizing step design for efficiency
- Considering memory usage and threading models
- Identifying and resolving performance bottlenecks
Introduction to Repository-Based Development
- Leveraging the Pentaho repository
- Managing versions effectively
- Adopting best practices for team collaboration
Deployment and Migration Practices
- Promoting jobs across different environments
- Managing configurations systematically
- Adhering to operational best practices
Summary and Future Directions
Requirements
- A solid grasp of fundamental ETL concepts
- Practical experience with Pentaho Data Integration
- Foundational knowledge of data warehousing principles
Target Audience
- ETL Developers
- Data Engineers
- Technical professionals aiming to deepen their PDI expertise
Testimonials (1)
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