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 Building Blocks
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Developing reusable transformation patterns
Parameters, Variables, and Job-Oriented Design
- Configuring runtime variables and scoping
- Parameterizing transformations for flexibility
- Structuring parent-child jobs
Database Integration and Lookup Strategies
- Implementing advanced lookup steps
- Applying effective caching strategies
- Designing efficient joins
Working with Files, APIs, and External Systems
- Processing JSON and XML data
- Invoking REST and SOAP services
- Managing streaming and batch loads
Error Handling and Data Quality Techniques
- Capturing and routing errors
- Establishing data validation patterns
- Implementing auditing and logging
Performance Tuning Essentials
- Optimizing step architecture
- Considerations for memory and threading
- Identifying performance bottlenecks
Introduction to Repository-Based Development
- Leveraging the Pentaho repository
- Managing versions
- Facilitating team collaboration
Deployment and Migration Practices
- Promoting jobs across environments
- Managing configuration
- Adhering to operational best practices
Summary and Next Steps
Requirements
- Fundamental understanding of ETL
- Practical experience with Pentaho Data Integration
- Basic familiarity with data warehousing concepts
Intended Audience
- ETL developers
- Data engineers
- Technical professionals seeking to expand their PDI capabilities
21 Hours
Testimonials (1)
It's a hands-on session.
