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Course Outline
Enterprise Architecture and Pipeline Design
- Multi-layer ETL architectures
- Creating modular and reusable components
- Hybrid approaches across diverse systems
Advanced Performance Engineering
- Step-level optimization
- Strategies for parallelism and threading
- Monitoring high-load pipelines
Automation, Scripting, and Custom Extensions
- Implementing scripting within transformations
- Developing custom plugins
- Extending PDI capabilities using 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
- Familiarity with ETL pipelines and data modeling concepts
- Hands-on experience with intermediate PDI transformations
- Strong proficiency in SQL and scripting languages
Audience
- Senior data engineers
- ETL architects
- Professionals handling complex data integration tasks
21 Hours
Testimonials (2)
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course - KNIME Analytics Platform for BI
It's a hands-on session.
