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Duration 21 hours
Course Outline
Advanced Transformation Fundamentals
- Handling complex data types
- Managing fields, metadata, and dynamic structural changes
- Developing reusable transformation patterns
Parameters, Variables, and Job Architecture
- Managing runtime variables and scope
- Parameterizing transformations for flexibility
- Implementing parent-child job structures
Database Connectivity and Lookup Optimization
- Executing advanced lookup steps
- Designing effective caching strategies
- Creating efficient join architectures
Interfacing with Files, APIs, and External Sources
- Processing JSON and XML data formats
- Interacting with REST and SOAP web services
- Managing streaming and batch data loads
Error Management and Data Quality Assurance
- Capturing and routing error events
- Establishing data validation patterns
- Implementing auditing and logging mechanisms
Essentials of Performance Optimization
- Refining step design for speed
- Considering memory usage and threading efficiency
- Identifying and resolving performance bottlenecks
Introduction to Repository-Driven Development
- Utilizing the Pentaho repository for asset management
- Managing version control
- Facilitating team collaboration workflows
Deployment and Migration Strategies
- Promoting jobs across different environments
- Implementing configuration management
- Adhering to operational best practices
Conclusion and Future Learning Pathways
Requirements
- A solid grasp of core ETL principles
- Prior hands-on experience with Pentaho Data Integration
- Familiarity with fundamental data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals aiming to expand their proficiency in PDI
Testimonials (1)
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