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Duration 21 hours
Course Outline
Advanced Transformation Building Blocks
- Handling complex data types
- Managing fields, metadata, and dynamic data structures
- Developing reusable transformation patterns
Parameters, Variables, and Job-Oriented Design
- Managing runtime variables and scoping
- Parameterising transformations for flexibility
- Structuring parent-child job relationships
Database Integration and Lookup Strategies
- Utilising advanced lookup steps
- Implementing effective caching strategies
- Designing efficient join operations
Working with Files, APIs, and External Systems
- Processing JSON and XML data formats
- Interacting with REST and SOAP web services
- Managing streaming and batch data loads
Error Handling and Data Quality Techniques
- Capturing and routing error messages
- Applying robust data validation patterns
- Implementing auditing and logging mechanisms
Performance Tuning Essentials
- Optimising individual step design
- Considering memory allocation and threading
- Identifying and resolving performance bottlenecks
Introduction to Repository-Based Development
- Utilising the Pentaho repository effectively
- Implementing version management
- Adopting team collaboration practices
Deployment and Migration Practices
- Promoting jobs across different environments
- Managing configuration settings
- Applying operational best practices
Summary and Next Steps
Requirements
- A solid grasp of ETL core principles
- Practical experience using Pentaho Data Integration
- Familiarity with fundamental data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals looking to deepen their PDI expertise
Testimonials (1)
It's a hands-on session.
