Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Advanced Transformation Components
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Developing reusable transformation patterns
Parameters, Variables, and Job-Centric Architecture
- Runtime variables and scope management
- Parameterization of transformations
- Configuring parent-child job hierarchies
Database Integration and Lookup Techniques
- Utilizing advanced lookup steps
- Implementing caching strategies
- Designing efficient joins
Interacting with Files, APIs, and External Platforms
- Processing JSON and XML data
- Invoking REST and SOAP services
- Managing streaming and batch loads
Error Management and Data Quality Approaches
- Capturing and routing errors effectively
- Applying data validation patterns
- Establishing auditing and logging mechanisms
Performance Optimization Fundamentals
- Refining step design for efficiency
- Considering memory usage and threading
- Identifying and resolving performance bottlenecks
Getting Started with Repository-Based Development
- Leveraging the Pentaho repository
- Implementing version control
- Adopting team collaboration workflows
Deployment and Migration Strategies
- Promoting jobs across environments
- Managing configuration settings
- Following operational best practices
Conclusion and Future Directions
Requirements
- Familiarity with ETL fundamentals
- Practical experience using Pentaho Data Integration
- Foundational knowledge of data warehousing principles
Target Audience
- ETL Developers
- Data Engineers
- Technical professionals looking to advance their PDI capabilities
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.
