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Course Outline
Advanced Transformation Building Blocks
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Creating reusable transformation patterns
Parameters, Variables, and Job-Oriented Design
- Runtime variables and their scoping
- Parameterizing transformations for flexibility
- Building parent-child job structures
Database Integration and Lookup Strategies
- Advanced lookup step configurations
- Implementing caching strategies
- Designing efficient joins
Working with Files, APIs, and External Systems
- Processing JSON and XML data
- Integrating with REST and SOAP services
- Managing streaming and batch loads
Error Handling and Data Quality Techniques
- Capturing and routing errors
- Applying data validation patterns
- Establishing auditing and logging protocols
Performance Tuning Essentials
- Optimizing step design for speed
- Considerations for memory and threading
- Identifying and resolving bottlenecks
Introduction to Repository-Based Development
- Utilizing the Pentaho repository
- Managing versions effectively
- Best practices for team collaboration
Deployment and Migration Practices
- Promoting jobs across different environments
- Managing configuration settings
- Adhering to operational best practices
Summary and Next Steps
Requirements
- A solid understanding of ETL fundamentals
- Practical experience with Pentaho Data Integration
- Basic knowledge of data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals looking to expand their PDI skills
21 Hours
Testimonials (1)
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