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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
- Managing runtime variables and scoping
- Implementing parameterized transformations
- Structuring parent-child job hierarchies
Database Integration and Lookup Strategies
- Utilizing advanced lookup steps
- Applying effective caching strategies
- Designing efficient joins
Working with Files, APIs, and External Systems
- Processing JSON and XML data
- Invoking REST and SOAP services
- Implementing streaming and batch loads
Error Handling and Data Quality Techniques
- Capturing and routing errors effectively
- Implementing data validation patterns
- Establishing auditing and logging protocols
Performance Tuning Essentials
- Optimizing step architecture
- Considering memory and threading implications
- Identifying and resolving bottlenecks
Introduction to Repository-Based Development
- Leveraging the Pentaho repository
- Managing versions effectively
- 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 fundamental ETL principles
- Practical experience working with Pentaho Data Integration
- Foundational knowledge of data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals aiming to expand their PDI proficiency
Testimonials (1)
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