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Course Outline
Advanced Building Blocks for Transformations
- Handling complex data types
- Managing fields, metadata, and dynamic structures
- Identifying and applying reusable transformation patterns
Parameters, Variables, and Job-Oriented Design
- Understanding runtime variables and their scoping
- Parameterizing transformations for flexibility
- Structuring parent-child job relationships
Database Integration and Lookup Strategies
- Mastering advanced lookup steps
- Implementing effective caching strategies
- Designing efficient join operations
Integrating Files, APIs, and External Systems
- Processing JSON and XML data formats
- Invoking REST and SOAP services
- Managing streaming and batch loads
Techniques for Error Handling and Data Quality
- Capturing and routing errors appropriately
- Applying data validation patterns
- Conducting auditing and logging
Essentials for Performance Tuning
- Optimizing the design of individual steps
- Addressing memory usage and threading configurations
- Identifying and resolving bottlenecks
Introduction to Repository-Based Development
- Leveraging the Pentaho repository
- Managing versions effectively
- Adopting team collaboration practices
Practices for Deployment and Migration
- Moving jobs across different environments
- Managing configurations
- Establishing operational best practices
Summary and Future Steps
Requirements
- A foundational understanding of ETL principles
- Prior experience using 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)
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.
