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Course Outline
Advanced Transformation Building Blocks
- Working with complex data types.
- Managing fields, metadata, and dynamic structures.
- Reusable transformation patterns.
Parameters, Variables, and Job-Oriented Design
- Runtime variables and scoping.
- Parameterizing transformations.
- Parent-child job structures.
Database Integration and Lookup Strategies
- Advanced lookup steps.
- Caching strategies.
- Efficient join designs.
Working with Files, APIs, and External Systems
- Processing JSON and XML.
- Calling REST and SOAP services.
- Streaming and batch loads.
Error Handling and Data Quality Techniques
- Capturing and routing errors.
- Data validation patterns.
- Auditing and logging.
Performance Tuning Essentials
- Optimizing step design.
- Memory and threading considerations.
- Detecting bottlenecks.
Introduction to Repository-Based Development
- Using the Pentaho repository.
- Version management.
- Team collaboration practices.
Deployment and Migration Practices
- Promoting jobs between environments.
- Configuration management.
- 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 seeking to expand their PDI skills.
21 Hours
Testimonials (2)
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course - KNIME Analytics Platform for BI
It's a hands-on session.
