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
- Implementing reusable transformation patterns
Parameters, Variables, and Job-Oriented Design
- Managing runtime variables and scoping
- Parameterizing transformations
- Structuring parent-child jobs
Database Integration and Lookup Strategies
- Utilizing 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
- Executing streaming and batch loads
Error Handling and Data Quality Techniques
- Capturing and routing errors
- Applying data validation patterns
- Conducting auditing and logging
Performance Tuning Essentials
- Optimizing step design
- Addressing memory and threading considerations
- Identifying bottlenecks
Introduction to Repository-Based Development
- Using the Pentaho repository
- Managing versions
- Adopting team collaboration practices
Deployment and Migration Practices
- Promoting jobs across environments
- Managing configurations
- Following operational best practices
Summary and Next Steps
Requirements
- Foundational understanding of ETL processes
- Prior experience with Pentaho Data Integration
- Basic knowledge of data warehousing principles
Target Audience
- ETL developers
- Data engineers
- Technical professionals looking to expand their PDI skills
21 Hours
Testimonials (2)
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course - KNIME Analytics Platform for BI
It's a hands-on session.
