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Duration 21 hours
Course Outline
Advanced Transformation Building Blocks
- Handling complex data types.
- Managing fields, metadata, and dynamic structures.
- Establishing reusable transformation patterns.
Parameters, Variables, and Job-Oriented Design
- Implementing runtime variables and proper scoping.
- 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 data formats.
- Interacting with REST and SOAP services.
- Managing streaming and batch loading processes.
Error Handling and Data Quality Techniques
- Capturing and appropriately routing errors.
- Applying robust data validation patterns.
- Implementing auditing and logging mechanisms.
Performance Tuning Essentials
- Optimizing step design for efficiency.
- Considering memory allocation and threading.
- Identifying and resolving performance bottlenecks.
Introduction to Repository-Based Development
- Utilizing the Pentaho repository effectively.
- Implementing version management workflows.
- Adopting team collaboration best practices.
Deployment and Migration Practices
- Promoting jobs across different environments.
- Managing configuration settings.
- Following operational best practices.
Summary and Next Steps
Requirements
- A solid grasp of fundamental ETL concepts.
- Practical experience with Pentaho Data Integration.
- Foundational knowledge of data warehousing principles.
Target Audience
- ETL developers.
- Data engineers.
- Technical professionals aiming to deepen their PDI expertise.
Testimonials (2)
That it was very practical.
Alfonso Ramos - Banco de Mexico
Course - Fundamentos de Integración de Datos Pentaho
Machine Translated
It's a hands-on session.
