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Course Outline
Advanced Transformation Building Blocks
- Handling complex data types effectively
- Managing fields, metadata, and dynamic structures
- Developing reusable transformation patterns
Parameters, Variables, and Job-Oriented Design
- Understanding runtime variables and scoping rules
- Parameterizing transformations for flexibility
- Structuring parent-child job relationships
Database Integration and Lookup Strategies
- Implementing advanced lookup steps
- Optimizing caching strategies
- Designing efficient join operations
Working with Files, APIs, and External Systems
- Processing JSON and XML data formats
- Interacting with REST and SOAP web services
- Managing streaming and batch data loads
Error Handling and Data Quality Techniques
- Capturing and routing error streams
- Applying data validation patterns
- Implementing auditing and logging mechanisms
Performance Tuning Essentials
- Optimizing step design for efficiency
- Considering memory usage and threading models
- Identifying and resolving performance bottlenecks
Introduction to Repository-Based Development
- Leveraging the Pentaho repository
- Managing version control
- Facilitating 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
- Familiarity with core data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals looking to expand their PDI skill set
21 Hours
Testimonials (1)
It's a hands-on session.
