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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
- Runtime variables and scoping mechanisms
- Parameterizing transformation processes
- 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
- Interacting with REST and SOAP services
- Managing streaming and batch loads
Error Handling and Data Quality Techniques
- Capturing and routing error flows
- Applying data validation patterns
- Implementing auditing and logging protocols
Performance Tuning Essentials
- Optimizing step design for efficiency
- Considerations for memory and threading
- Identifying and resolving bottlenecks
Introduction to Repository-Based Development
- Utilizing the Pentaho repository
- Managing version control
- Facilitating team collaboration practices
Deployment and Migration Practices
- Transitioning jobs across environments
- Managing configurations
- Adhering to operational best practices
Summary and Next Steps
Requirements
- Familiarity with core ETL principles
- Prior experience using Pentaho Data Integration
- Fundamental understanding of data warehousing concepts
Target Audience
- ETL Developers
- Data Engineers
- Technical professionals looking to deepen their PDI competencies
21 Hours
Testimonials (2)
That it was very practical.
Alfonso Ramos - Banco de Mexico
Course - Fundamentos de Integración de Datos Pentaho
Machine Translated
It's a hands-on session.
