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Course Outline
Advanced Transformation Building Blocks
- Handling complex data types.
- Managing fields, metadata, and dynamic structures.
- Reusing transformation patterns.
Parameters, Variables, and Job-Oriented Design
- Understanding runtime variables and scoping.
- Parameterizing transformations.
- Structuring parent-child jobs.
Database Integration and Lookup Strategies
- Leveraging advanced lookup steps.
- Implementing caching strategies.
- Designing efficient joins.
Working with Files, APIs, and External Systems
- Processing JSON and XML data.
- Invoking REST and SOAP services.
- Executing streaming and batch loads.
Error Handling and Data Quality Techniques
- Capturing and routing errors.
- Applying data validation patterns.
- Conducting auditing and logging.
Performance Tuning Essentials
- Optimizing step design.
- Addressing memory and threading considerations.
- Identifying bottlenecks.
Introduction to Repository-Based Development
- Utilizing the Pentaho repository.
- Managing versions.
- Adopting team collaboration practices.
Deployment and Migration Practices
- Promoting jobs across environments.
- Managing configurations.
- Following operational best practices.
Summary and Next Steps
Requirements
- A solid grasp of ETL fundamentals.
- Prior experience working with Pentaho Data Integration.
- Foundational knowledge of data warehousing concepts.
Audience
- ETL developers.
- Data engineers.
- Technical professionals looking 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.
