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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
- Understanding runtime variables and scoping rules.
- Parameterizing transformations for flexibility.
- Structuring parent-child job hierarchies.
Database Integration and Lookup Strategies
- Utilizing advanced lookup steps.
- Employing effective caching strategies.
- Designing efficient join operations.
Working with Files, APIs, and External Systems
- Processing JSON and XML formats.
- Invoking REST and SOAP services.
- Managing streaming and batch data loads.
Error Handling and Data Quality Techniques
- Capturing and routing errors effectively.
- Applying data validation patterns.
- Implementing auditing and logging mechanisms.
Performance Tuning Essentials
- Optimizing step design for efficiency.
- Considering memory usage and threading configurations.
- Identifying and resolving bottlenecks.
Introduction to Repository-Based Development
- Leveraging the Pentaho repository.
- Managing versions of transformations and jobs.
- Adopting team collaboration best practices.
Deployment and Migration Practices
- Promoting jobs across different environments.
- Managing configurations effectively.
- Following operational best practices.
Summary and Next Steps
Requirements
- A foundational understanding of ETL concepts.
- Prior experience working with Pentaho Data Integration.
- Basic knowledge of data warehousing principles.
Target Audience
- ETL developers.
- Data engineers.
- Technical professionals seeking to expand their PDI expertise.
21 Hours
Testimonials (2)
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course - KNIME Analytics Platform for BI
It's a hands-on session.