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Course Outline
Advanced Transformation Components
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Establishing reusable transformation patterns
Parameters, Variables, and Job-Centric Design
- Defining runtime variables and their scope
- Parameterizing transformations for flexibility
- Structuring parent-child job hierarchies
Database Integration and Lookup Techniques
- Implementing advanced lookup steps
- Developing effective caching strategies
- Designing efficient joins
Integration with Files, APIs, and External Systems
- Processing JSON and XML data
- Interacting with REST and SOAP services
- Managing streaming and batch data loads
Error Management and Data Quality Control
- Capturing and directing error streams
- Applying data validation patterns
- Implementing auditing and logging mechanisms
Key Performance Optimization Strategies
- Refining step architecture for efficiency
- Considering memory allocation and threading
- Identifying and resolving performance bottlenecks
Introduction to Repository-Driven Development
- Leveraging the Pentaho repository
- Managing version control
- Facilitating team collaboration workflows
Deployment and Migration Procedures
- Migrating jobs across different environments
- Overseeing configuration management
- Adhering to operational best practices
Recap and Future Directions
Requirements
- A solid grasp of fundamental ETL principles
- Prior hands-on experience with Pentaho Data Integration
- Foundational understanding of data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical specialists aiming to broaden their PDI expertise
21 Hours
Testimonials (1)
It's a hands-on session.
