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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
- Understanding runtime variables and scope management
- Applying parameterization to transformations
- Structuring parent-child job relationships
Database Integration and Lookup Strategies
- Implementing advanced lookup steps
- Applying effective caching strategies
- Designing efficient join operations
Working with Files, APIs, and External Systems
- Processing JSON and XML data formats
- Integrating REST and SOAP services
- Managing streaming and batch loading processes
Error Handling and Data Quality Techniques
- Capturing and routing error events
- Implementing data validation patterns
- Establishing auditing and logging protocols
Performance Tuning Essentials
- Optimizing individual step design
- Considering memory usage and threading implications
- Identifying and resolving performance bottlenecks
Introduction to Repository-Based Development
- Leveraging the Pentaho repository
- Implementing version management workflows
- Adopting team collaboration best practices
Deployment and Migration Practices
- Promoting jobs across different environments
- Managing configuration settings
- Following operational best practices
Summary and Next Steps
Requirements
- Familiarity with core ETL concepts
- Prior experience working with Pentaho Data Integration
- Foundational knowledge of data warehousing principles
Target Audience
- ETL developers
- Data engineers
- Technical professionals seeking to deepen their PDI expertise
21 Hours
Testimonials (1)
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