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Duration 21 hours
Course Outline
Advanced Transformation Components
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Creating reusable transformation patterns
Parameters, Variables, and Job Architecture
- Runtime variables and scope management
- Parameterizing transformations
- Structuring parent-child jobs
Database Integration and Lookup Methods
- Utilizing advanced lookup steps
- Implementing 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 Management and Data Quality
- Capturing and routing errors effectively
- Establishing data validation patterns
- Implementing auditing and logging mechanisms
Performance Optimization Basics
- Refining step design for efficiency
- Considering memory usage and threading
- Identifying and resolving bottlenecks
Repository-Based Development Overview
- Leveraging the Pentaho repository
- Managing versions
- Facilitating team collaboration
Deployment and Migration Procedures
- Transferring jobs across environments
- Managing configuration settings
- Following operational best practices
Course Conclusion and Future Directions
Requirements
- A solid grasp of ETL fundamentals
- Prior experience with Pentaho Data Integration
- Foundational knowledge of data warehousing principles
Target Audience
- ETL developers
- Data engineers
- Technical professionals seeking to expand their PDI expertise
Testimonials (1)
It's a hands-on session.
