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 Components
- Handling complex data types
- Controlling fields, metadata, and dynamic structures
- Implementing reusable transformation patterns
Parameters, Variables, and Job-Driven Architecture
- Managing runtime variables and scope definitions
- Parameterizing transformation logic
- Structuring parent-child job relationships
Database Integration and Lookup Optimization
- Utilizing advanced lookup steps
- Implementing effective caching strategies
- Designing efficient join operations
Interaction with Files, APIs, and External Systems
- Processing JSON and XML data formats
- Invoking REST and SOAP services
- Managing streaming and batch data loads
Error Management and Data Quality Assurance
- Capturing and redirecting error streams
- Applying data validation patterns
- Establishing auditing and logging protocols
Performance Optimization Fundamentals
- Refining step design for speed
- Considering memory allocation and threading impacts
- Identifying and resolving performance bottlenecks
Foundations of Repository-Based Development
- Leveraging the Pentaho repository system
- Managing version control effectively
- Adopting team collaboration best practices
Deployment and Migration Procedures
- Promoting jobs across different environments
- Managing configuration settings
- Following operational best practices
Course Summary and Future Directions
Requirements
- A solid grasp of ETL core principles
- Practical experience utilizing Pentaho Data Integration
- Familiarity with fundamental data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals aiming to expand their PDI competencies
Testimonials (1)
It's a hands-on session.
