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Duration 21 hours
Course Outline
Advanced Transformation Building Blocks
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Establishing reusable transformation patterns
Parameters, Variables, and Job-Oriented Design
- Implementing runtime variables and scoping
- Parameterizing transformations for flexibility
- Structuring parent-child job relationships
Database Integration and Lookup Strategies
- Utilizing 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 services
- Managing streaming and batch data loads
Error Handling and Data Quality Techniques
- Capturing and routing errors effectively
- Applying 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
- Managing versions of assets
- 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 grasp of fundamental ETL principles
- Prior experience with Pentaho Data Integration
- Familiarity with core data warehousing concepts
Target Audience
- ETL Developers
- Data Engineers
- Technical professionals aiming to broaden their PDI expertise
Testimonials (1)
It's a hands-on session.
