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Course Outline
Advanced Transformation Building Blocks
- Working with complex data types
- Managing fields, metadata, and dynamic structures
- Implementing reusable transformation patterns
Parameters, Variables, and Job-Oriented Design
- Runtime variables and scoping mechanisms
- Parameterising transformations for flexibility
- Structuring parent-child job relationships
Database Integration and Lookup Strategies
- Utilising advanced lookup steps
- Implementing effective caching strategies
- Designing efficient joins
Working with Files, APIs, and External Systems
- Processing JSON and XML data formats
- Interacting with REST and SOAP services
- Managing streaming and batch loads
Error Handling and Data Quality Techniques
- Capturing and routing errors appropriately
- Applying data validation patterns
- Implementing auditing and logging procedures
Performance Tuning Essentials
- Optimising step design for efficiency
- Considering memory and threading impacts
- Identifying and resolving bottlenecks
Introduction to Repository-Based Development
- Leveraging the Pentaho repository
- Managing versions effectively
- Adopting team collaboration practices
Deployment and Migration Practices
- Promoting jobs across different environments
- Managing configuration settings
- Following operational best practices
Summary and Next Steps
Requirements
- A solid understanding of ETL fundamentals
- Practical experience with Pentaho Data Integration
- Basic knowledge of data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals looking to expand their PDI skill set
21 Hours
Testimonials (1)
It's a hands-on session.
