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Course Outline
Enterprise Architecture and Pipeline Design
- Multi-layer ETL architectures
- Designing modular and reusable components
- Hybrid approaches across systems
Advanced Performance Engineering
- Step-level optimization
- Parallelism and threading strategies
- Monitoring high-load pipelines
Automation, Scripting, and Custom Extensions
- Scripting inside transformations
- Developing custom plugins
- Extending PDI capabilities with Java and JavaScript
Complex Data Processing and Integrations
- Real-time and streaming integrations
- Working with big data platforms
- Advanced file and API processing
Data Governance, Security, and Compliance
- Securing transformations and credentials
- Data lineage and traceability
- Regulatory and compliance considerations
Enterprise Orchestration and Scheduling
- Managing large job networks
- Error recovery and failover design
- Environment-level orchestration
Repository, Version Control, and CI/CD
- Enterprise repository strategies
- Integrating PDI with Git
- Continuous deployment patterns
Deployment, Monitoring, and Production Operations
- Promoting solutions across environments
- Operational tooling and dashboards
- End-to-end production readiness
Summary and Next Steps
Requirements
- An understanding of ETL pipelines and data modeling
- Experience with intermediate-level PDI transformations
- Solid SQL and scripting skills
Audience
- Senior data engineers
- ETL architects
- Professionals managing complex data integration workloads
21 Hours
Testimonials (3)
What was very practical.
Alfonso Ramos - Banco de Mexico
Course - Fundamentos de Integración de Datos Pentaho
Machine Translated
It's a hands-on session.
Vorraluck Sarechuer - Total Access Communication Public Company Limited (dtac)
Course - Talend Open Studio for ESB
The tool's capacity
Gerardo Avila - Reckitt Benckizer
Course - KNIME Analytics Platform for BI
Machine Translated