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Course Outline
Advanced Transformation Building Blocks
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Establishing reusable transformation patterns
Parameters, Variables, and Job-Oriented Design
- Utilizing runtime variables and scoping
- Implementing parameterized transformations
- Structuring parent-child job relationships
Database Integration and Lookup Strategies
- Employing advanced lookup steps
- Optimizing caching strategies
- Designing efficient joins
Working with Files, APIs, and External Systems
- Processing JSON and XML data
- Interacting with REST and SOAP services
- Managing streaming and batch loads
Error Handling and Data Quality Techniques
- Capturing and routing errors effectively
- Applying data validation patterns
- Implementing auditing and logging mechanisms
Performance Tuning Essentials
- Optimizing step design for efficiency
- Considering memory usage and threading
- Identifying and resolving performance bottlenecks
Introduction to Repository-Based Development
- Leveraging the Pentaho repository
- Managing versions
- Facilitating team collaboration
Deployment and Migration Practices
- Transitioning jobs across environments
- Managing configurations
- Adhering to operational best practices
Summary and Next Steps
Requirements
- Familiarity with core ETL fundamentals
- Practical experience with Pentaho Data Integration
- Fundamental understanding of data warehousing principles
Target Audience
- ETL developers
- Data engineers
- Technical professionals aiming to advance their PDI expertise
21 Hours
Testimonials (1)
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