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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
- Runtime variables and scoping mechanisms
- Parameterising transformations
- Structuring parent-child job architectures
Database Integration and Lookup Strategies
- Implementing advanced lookup steps
- Applying effective caching strategies
- Designing efficient joins
Working with Files, APIs, and External Systems
- Processing JSON and XML data
- Invoking REST and SOAP services
- Managing streaming and batch loads
Error Handling and Data Quality Techniques
- Capturing and routing error events
- Establishing data validation patterns
- Implementing auditing and logging protocols
Performance Tuning Essentials
- Optimising step design
- Considering memory and threading requirements
- Identifying and resolving performance bottlenecks
Introduction to Repository-Based Development
- Utilising the Pentaho repository
- Managing version control
- Fostering team collaboration practices
Deployment and Migration Practices
- Promoting jobs across different environments
- Managing configuration settings
- Adhering to operational best practices
Summary and Next Steps
Requirements
- A solid grasp of ETL fundamentals
- Practical experience with Pentaho Data Integration
- Basic knowledge of data warehousing principles
Target Audience
- ETL developers
- Data engineers
- Technical professionals seeking to broaden their PDI expertise
21 Hours
Testimonials (1)
It's a hands-on session.
