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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
- Managing runtime variables and scope
- Parameterizing transformation logic
- Structuring parent-child job relationships
Database Integration and Lookup Strategies
- Utilizing advanced lookup steps
- Implementing efficient caching strategies
- Designing optimized join operations
Engaging with Files, APIs, and External Systems
- Processing JSON and XML formats
- Interacting with REST and SOAP services
- Managing streaming and batch data loads
Error Handling and Data Quality Techniques
- Capturing and routing error messages
- Applying data validation patterns
- Implementing auditing and logging mechanisms
Performance Tuning Essentials
- Refining step design for efficiency
- Addressing memory and threading considerations
- Identifying and resolving performance bottlenecks
Introduction to Repository-Based Development
- Utilizing the Pentaho repository
- Managing version control
- Adopting team collaboration practices
Deployment and Migration Practices
- Advancing jobs across different environments
- Managing configuration settings
- Applying operational best practices
Summary and Next Steps
Requirements
- A solid grasp of fundamental ETL principles
- Practical experience using Pentaho Data Integration
- Familiarity with core data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals aiming to expand their PDI capabilities
21 Hours
Testimonials (1)
It's a hands-on session.