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Duration 21 hours
Course Outline
Advanced Transformation Components
- Handling complex data types
- Controlling fields, metadata, and dynamic structures
- Developing reusable transformation patterns
Parameters, Variables, and Job-Centric Design
- Managing runtime variables and scope
- Parameterizing transformations
- Structuring parent and child jobs
Database Integration and Lookup Methods
- Implementing advanced lookup steps
- Applying caching strategies
- Designing efficient joins
Interaction with Files, APIs, and External Systems
- Processing JSON and XML formats
- Interfacing with REST and SOAP services
- Executing streaming and batch loads
Error Management and Data Quality Approaches
- Capturing and directing errors
- Establishing data validation patterns
- Implementing auditing and logging
Essentials of Performance Optimization
- Refining step design for efficiency
- Considering memory usage and threading
- Identifying performance bottlenecks
Fundamentals of Repository-Based Development
- Leveraging the Pentaho repository
- Managing version control
- Adopting team collaboration practices
Deployment and Migration Procedures
- Promoting jobs across different environments
- Overseeing configuration management
- FOLLOWING operational best practices
Overview and Future Directions
Requirements
- Familiarity with the fundamentals of ETL
- Prior experience utilizing Pentaho Data Integration
- Foundational understanding of data warehousing principles
Target Audience
- ETL developers
- Data engineers
- Technical specialists aiming to expand their PDI expertise
Testimonials (1)
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