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.
Duration 21 hours
Course Outline
Advanced Transformation Building Blocks
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Implementing reusable transformation patterns
Parameters, Variables, and Job-Oriented Design
- Managing runtime variables and scoping
- Parameterizing transformations for flexibility
- Structuring parent-child job relationships
Database Integration and Lookup Strategies
- Utilizing advanced lookup steps
- Applying efficient caching strategies
- Designing optimized join structures
Working with Files, APIs, and External Systems
- Processing JSON and XML data formats
- Interacting with REST and SOAP services
- Managing streaming and batch loading processes
Error Handling and Data Quality Techniques
- Capturing and routing errors appropriately
- Implementing data validation patterns
- Performing auditing and logging activities
Performance Tuning Essentials
- Optimizing step design for efficiency
- Addressing memory and threading considerations
- Identifying and resolving performance bottlenecks
Introduction to Repository-Based Development
- Leveraging the Pentaho repository
- Implementing version management
- Adopting team collaboration practices
Deployment and Migration Practices
- Transferring jobs between different environments
- Managing configuration settings
- Following operational best practices
Summary and Next Steps
Requirements
- A solid grasp of fundamental ETL principles
- Practical experience with Pentaho Data Integration
- Foundational knowledge of data warehousing concepts
Target Audience
- ETL Developers
- Data Engineers
- Technical professionals looking to expand their PDI expertise
Testimonials (1)
It's a hands-on session.
