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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
- Runtime variables and their scoping
- Parameterizing transformations
- Designing parent-child job structures
Database Integration and Lookup Strategies
- Advanced lookup steps
- Implementing caching strategies
- Designing efficient joins
Working with Files, APIs, and External Systems
- Processing JSON and XML data
- Invoking REST and SOAP services
- Executing streaming and batch loads
Error Handling and Data Quality Techniques
- Capturing and routing errors
- Establishing data validation patterns
- Implementing auditing and logging
Performance Tuning Essentials
- Optimizing step design
- Considering memory and threading requirements
- Identifying and resolving bottlenecks
Introduction to Repository-Based Development
- Utilizing the Pentaho repository
- Managing versions
- Collaborative team practices
Deployment and Migration Practices
- Promoting jobs across different environments
- Managing configurations
- Adhering to operational best practices
Summary and Next Steps
Requirements
- A solid grasp of ETL fundamentals
- Practical experience with Pentaho Data Integration
- Foundational knowledge of data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals seeking to expand their PDI skill set
21 Hours
Testimonials (1)
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