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Duration 21 hours
Course Outline
Enterprise Architecture and Pipeline Design
- Multi-tier ETL architectures
- Creating modular and reusable components
- Hybrid strategies across various systems
Advanced Performance Engineering
- Optimization at the step level
- Strategies for parallelism and threading
- Monitoring pipelines under high load
Automation, Scripting, and Custom Extensions
- Embedding scripts within transformations
- Building custom plugins
- Expanding PDI functionality using Java and JavaScript
Complex Data Processing and Integrations
- Real-time and streaming integrations
- Integration with big data platforms
- Advanced file and API handling
Data Governance, Security, and Compliance
- Securing transformations and managing credentials
- Tracking data lineage and ensuring traceability
- Addressing regulatory and compliance requirements
Enterprise Orchestration and Scheduling
- Managing extensive job networks
- Designing error recovery and failover mechanisms
- Orchestration at the environment level
Repository, Version Control, and CI/CD
- Strategies for enterprise repositories
- Integrating PDI with Git
- Patterns for continuous deployment
Deployment, Monitoring, and Production Operations
- Deploying solutions across different environments
- Utilizing operational tools and dashboards
- Achieving end-to-end production readiness
Summary and Next Steps
Requirements
- A solid grasp of ETL pipelines and data modeling concepts.
- Proficiency with intermediate-level PDI transformations.
- Strong SQL and scripting competencies.
Target Audience
- Senior data engineers
- ETL architects
- Professionals overseeing complex data integration tasks
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.
