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Course Outline
Advanced Building Blocks for Transformations
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Developing reusable transformation patterns
Parameters, Variables, and Job-Centric Design
- Managing runtime variables and scope
- Parameterizing transformations for flexibility
- Structuring parent-child job relationships
Database Integration and Lookup Strategies
- Implementing advanced lookup steps
- Optimizing caching strategies
- Designing efficient joins
Interacting with Files, APIs, and External Systems
- Processing JSON and XML data formats
- Integrating with REST and SOAP services
- Managing streaming and batch loading operations
Error Handling and Data Quality Techniques
- Capturing and routing error conditions
- Applying data validation patterns
- Implementing auditing and logging mechanisms
Essentials of Performance Tuning
- Optimizing step design for efficiency
- Considering memory and threading implications
- Identifying and resolving performance bottlenecks
Introduction to Repository-Based Development
- Leveraging the Pentaho repository
- Managing versions effectively
- Adopting team collaboration practices
Deployment and Migration Best Practices
- Promoting jobs across different environments
- Managing configuration settings
- Following operational best practices
Summary and Recommended Next Steps
Requirements
- A solid understanding of core ETL principles
- Practical experience using Pentaho Data Integration
- Familiarity with fundamental data warehousing concepts
Target Audience
- ETL Developers
- Data Engineers
- Technical professionals seeking to advance their PDI capabilities
21 Hours
Testimonials (1)
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