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