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Duration 21 hours
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
- Defining runtime variables and scoping rules.
- Parameterizing transformations for flexibility.
- Structuring parent-child job relationships.
Database Integration and Lookup Strategies
- Utilizing advanced lookup steps.
- Applying effective caching strategies.
- Designing efficient joins.
Working with Files, APIs, and External Systems
- Processing JSON and XML data formats.
- Interacting with REST and SOAP services.
- Managing streaming and batch loads.
Error Handling and Data Quality Techniques
- Capturing and routing errors appropriately.
- Establishing data validation patterns.
- Implementing auditing and logging mechanisms.
Performance Tuning Essentials
- Optimizing step design for efficiency.
- Considering memory usage and threading constraints.
- Identifying and resolving performance bottlenecks.
Introduction to Repository-Based Development
- Utilizing the Pentaho repository.
- Managing version control.
- Adopting team collaboration best practices.
Deployment and Migration Practices
- Promoting jobs across different environments.
- Managing configurations effectively.
- Applying operational best practices.
Summary and Next Steps
Requirements
- A solid grasp of ETL fundamentals
- Practical experience with Pentaho Data Integration
- Familiarity with core data warehousing principles
Target Audience
- ETL developers
- Data engineers
- Technical specialists seeking to advance their PDI capabilities
Testimonials (1)
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