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