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Duration 21 hours
Course Outline
Advanced Transformation Fundamentals
- Handling complex data types
- Managing fields, metadata, and dynamic data structures
- Developing reusable transformation patterns
Parameters, Variables, and Job-Centric Architecture
- Managing runtime variables and scoping rules
- Implementing parameterized transformations
- Structuring parent-child job relationships
Database Connectivity and Lookup Optimization
- Utilizing advanced lookup steps
- Implementing effective caching strategies
- Designing efficient join operations
Integration with Files, APIs, and External Systems
- Processing JSON and XML data formats
- Interacting with REST and SOAP services
- Managing streaming and batch data loads
Error Management and Data Quality Assurance
- Capturing and routing error messages
- Establishing data validation patterns
- Implementing comprehensive auditing and logging
Performance Optimization Essentials
- Refining step design for maximum efficiency
- Considering memory usage and threading models
- Identifying and resolving performance bottlenecks
Getting Started with Repository-Based Development
- Utilizing the Pentaho repository features
- Implementing version control mechanisms
- Adopting effective team collaboration workflows
Deployment and Migration Standards
- Migrating jobs across different environments
- Managing configuration settings
- Applying operational best practices
Course Conclusion and Future Learning Paths
Requirements
- A solid grasp of ETL fundamentals
- Practical experience with Pentaho Data Integration
- Familiarity with core data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals looking to expand their PDI proficiency
Testimonials (1)
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