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Duration 21 hours
Course Outline
Advanced Transformation Building Blocks
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Developing reusable transformation patterns
Parameters, Variables, and Job-Oriented Design
- Configuring runtime variables and scoping
- Parameterizing transformation logic
- Structuring parent-child jobs
Database Integration and Lookup Strategies
- Implementing advanced lookup steps
- Designing effective caching strategies
- Creating efficient join architectures
Working with Files, APIs, and External Systems
- Processing JSON and XML data
- Invoking REST and SOAP services
- Managing streaming and batch loads
Error Handling and Data Quality Techniques
- Capturing and routing error events
- Establishing data validation patterns
- Implementing auditing and logging mechanisms
Performance Tuning Essentials
- Optimizing step design for efficiency
- Considering memory and threading impacts
- Identifying and resolving performance bottlenecks
Introduction to Repository-Based Development
- Utilizing the Pentaho repository
- Managing versions of assets
- Adopting team collaboration practices
Deployment and Migration Practices
- Promoting jobs across different environments
- Managing configuration settings
- Applying operational best practices
Summary and Next Steps
Requirements
- A solid grasp of ETL core principles
- Practical experience with Pentaho Data Integration
- Familiarity with fundamental data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals aiming to expand their PDI proficiency
Testimonials (1)
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