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Course Outline
Advanced Transformation Building Blocks
- Handling complex data types
- Managing fields, metadata, and dynamic data structures
- Developing reusable transformation patterns
Parameters, Variables, and Job-Oriented Design
- Managing runtime variables and scope
- Parameterizing transformation workflows
- Structuring parent-child job relationships
Database Integration and Lookup Strategies
- Implementing advanced lookup steps
- Optimizing caching strategies
- Designing efficient joins
Working with Files, APIs, and External Systems
- Processing JSON and XML data formats
- Invoking REST and SOAP services
- Managing streaming and batch loading processes
Error Handling and Data Quality Techniques
- Capturing and routing error events
- Applying data validation patterns
- Implementing auditing and logging mechanisms
Performance Tuning Essentials
- Optimizing individual step design
- Considering memory allocation and threading
- Identifying and resolving performance bottlenecks
Introduction to Repository-Based Development
- Utilizing the Pentaho repository effectively
- Implementing version control practices
- Facilitating team collaboration workflows
Deployment and Migration Practices
- Transitioning jobs across different environments
- Managing configuration settings
- Adhering to operational best practices
Summary and Future Directions
Requirements
- A solid grasp of fundamental ETL principles
- Practical experience utilizing Pentaho Data Integration
- Familiarity with core data warehousing concepts
Target Audience
- ETL Developers
- Data Engineers
- Technical specialists aiming to expand their PDI competencies
21 Hours
Testimonials (1)
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