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Duration 21 hours
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
- Utilizing runtime variables and scoping
- Implementing parameterized transformations
- Structuring parent-child jobs
Database Integration and Lookup Strategies
- Implementing advanced lookup steps
- Applying effective caching strategies
- Designing efficient joins
Interacting 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 errors effectively
- Implementing data validation patterns
- Establishing auditing and logging protocols
Performance Tuning Essentials
- Optimizing step design for efficiency
- Considering memory usage and threading
- Identifying and resolving bottlenecks
Introduction to Repository-Based Development
- Leveraging the Pentaho repository
- Implementing version management
- Adopting team collaboration best practices
Deployment and Migration Practices
- Promoting jobs across environments
- Managing configuration effectively
- Applying operational best practices
Summary and Next Steps
Requirements
- A solid grasp of ETL fundamentals
- Practical experience with Pentaho Data Integration
- Familiarity with core data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals aiming to broaden their PDI expertise
Testimonials (1)
It's a hands-on session.
