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Course Outline
Advanced Transformation Building Blocks
- Working with complex data types.
- Managing fields, metadata, and dynamic structures.
- Reusing established transformation patterns.
Parameters, Variables, and Job-Oriented Design
- Understanding runtime variables and scoping rules.
- Parameterising transformations for flexibility.
- Structuring parent-child job hierarchies.
Database Integration and Lookup Strategies
- Leveraging advanced lookup steps.
- Implementing effective caching strategies.
- Designing efficient join operations.
Working with Files, APIs, and External Systems
- Processing JSON and XML formats.
- Invoking REST and SOAP services.
- Executing streaming and batch data loads.
Error Handling and Data Quality Techniques
- Capturing and routing errors effectively.
- Applying data validation patterns.
- Conducting auditing and logging.
Performance Tuning Essentials
- Optimising step design for better throughput.
- Managing memory usage and threading.
- Identifying and resolving bottlenecks.
Introduction to Repository-Based Development
- Utilising the Pentaho repository.
- Managing version control.
- Adopting team collaboration practices.
Deployment and Migration Practices
- Promoting jobs across different environments.
- Handling configuration management.
- Following operational best practices.
Summary and Next Steps
Requirements
- A solid grasp of ETL fundamentals.
- Previous hands-on experience with Pentaho Data Integration.
- Foundational knowledge of data warehousing concepts.
Target Audience
- ETL developers.
- Data engineers.
- Technical professionals looking to expand their PDI expertise.
21 Hours
Testimonials (1)
It's a hands-on session.
