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Course Outline
Advanced Building Blocks for Transformations
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Developing reusable transformation patterns
Parameters, Variables, and Job-Centric Design
- Managing runtime variables and scoping rules
- Implementing parameterization within transformations
- Structuring parent-child job relationships
Database Integration and Lookup Methodologies
- Configuring advanced lookup steps
- Defining effective caching strategies
- Designing efficient joins
Interfacing with Files, APIs, and External Systems
- Processing JSON and XML data
- Interacting with REST and SOAP services
- Managing streaming and batch loading
Error Handling and Data Quality Methods
- Capturing and routing error records
- Establishing data validation patterns
- Implementing auditing and logging mechanisms
Core Performance Optimization Techniques
- Optimizing step design for efficiency
- Addressing memory and threading considerations
- Identifying and resolving performance bottlenecks
Getting Started with Repository-Based Development
- Leveraging the Pentaho repository
- Implementing version control strategies
- Adopting collaborative team practices
Deployment and Migration Protocols
- Migrating jobs across different environments
- Managing configuration settings
- Adhering to operational best practices
Wrap-up and Future Directions
Requirements
- A solid grasp of fundamental ETL principles
- Practical experience with Pentaho Data Integration
- A foundational understanding of data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals looking to expand their PDI expertise
21 Hours
Testimonials (1)
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