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Duration 21 hours
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 for flexibility
- Structuring parent-child jobs
Database Integration and Lookup Strategies
- Utilizing advanced lookup steps
- Implementing caching strategies
- Designing efficient joins
Working with Files, APIs, and External Systems
- Processing JSON and XML data
- Interacting with REST and SOAP services
- Managing streaming and batch loads
Error Handling and Data Quality Techniques
- Capturing and routing errors
- Applying data validation patterns
- Implementing auditing and logging
Performance Tuning Essentials
- Optimizing step design
- Considering memory and threading impacts
- Identifying performance bottlenecks
Introduction to Repository-Based Development
- Leveraging the Pentaho repository
- Managing version control
- Adopting team collaboration practices
Deployment and Migration Practices
- Promoting jobs across different environments
- Managing configuration
- Following operational best practices
Summary and Next Steps
Requirements
- A solid grasp of ETL fundamentals
- Practical experience with Pentaho Data Integration
- Familiarity with basic data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals aiming to expand their PDI expertise
Testimonials (1)
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