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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
- Utilizing runtime variables and scoping
- Parameterizing transformations for flexibility
- Structuring parent-child job relationships
Database Integration and Lookup Strategies
- Implementing advanced lookup steps
- Applying 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 loading processes
Error Handling and Data Quality Techniques
- Capturing and routing error messages
- Establishing data validation patterns
- Implementing auditing and logging mechanisms
Performance Tuning Essentials
- Optimizing step design for efficiency
- Considering memory and threading implications
- Identifying and resolving performance bottlenecks
Introduction to Repository-Based Development
- Leveraging the Pentaho repository
- Implementing version management
- Adopting team collaboration practices
Deployment and Migration Practices
- Facilitating job promotion across environments
- Managing configuration settings
- Applying operational best practices
Summary and Next Steps
Requirements
- A solid understanding of ETL fundamentals
- Prior experience with Pentaho Data Integration
- Basic familiarity with data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals seeking to expand their PDI capabilities
21 Hours
Testimonials (1)
It's a hands-on session.
