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Duration 21 hours
Course Outline
Advanced Transformation Building Blocks
- Managing complex data types
- Handling fields, metadata, and dynamic structures
- Implementing reusable transformation patterns
Parameters, Variables, and Job-Oriented Design
- Runtime variables and scoping mechanisms
- 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 data
- 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 practices
Performance Tuning Essentials
- Optimizing step design
- Memory and threading considerations
- Detecting performance bottlenecks
Introduction to Repository-Based Development
- Utilizing the Pentaho repository
- Version management
- Team collaboration practices
Deployment and Migration Practices
- Promoting jobs between different environments
- Configuration management
- Operational best practices
Summary and Next Steps
Requirements
- A solid understanding of ETL fundamentals
- Prior experience with Pentaho Data Integration
- Basic knowledge of data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals seeking to expand their PDI proficiency
Testimonials (1)
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