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Course Outline
Advanced Transformation Building Blocks
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Implementing reusable transformation patterns
Parameters, Variables, and Job-Oriented Design
- Managing runtime variables and scoping
- Parameterizing transformation steps
- Structuring parent-child job relationships
Database Integration and Lookup Strategies
- Utilizing advanced lookup steps
- Applying effective caching strategies
- Designing efficient joins
Working with Files, APIs, and External Systems
- Processing JSON and XML data
- Integrating with REST and SOAP services
- Managing streaming and batch loads
Error Handling and Data Quality Techniques
- Capturing and routing errors effectively
- Establishing data validation patterns
- Implementing auditing and logging mechanisms
Performance Tuning Essentials
- Optimizing step design for efficiency
- Considering memory and threading impacts
- Identifying and resolving bottlenecks
Introduction to Repository-Based Development
- Leveraging the Pentaho repository
- Managing versions of projects
- Adopting team collaboration practices
Deployment and Migration Practices
- Promoting jobs across different environments
- Managing configuration settings
- Following operational best practices
Summary and Next Steps
Requirements
- A solid grasp of ETL fundamentals
- Prior experience utilizing Pentaho Data Integration
- Familiarity with core data warehousing concepts
Intended Audience
- ETL developers
- Data engineers
- Technical professionals looking to expand their PDI capabilities
21 Hours
Testimonials (1)
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