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Course Outline
Enterprise Architecture and Pipeline Design
- Multi-layer ETL architectures
- Building modular, reusable components
- Cross-system hybrid strategies
Advanced Performance Engineering
- Step-level optimization
- Parallelism and threading tactics
- Monitoring pipelines under high load
Automation, Scripting, and Custom Extensions
- Integrating scripts within transformations
- Creating custom plugins
- Expanding PDI capabilities via Java and JavaScript
Complex Data Processing and Integrations
- Real-time and streaming integrations
- Interacting with big data platforms
- Sophisticated file and API handling
Data Governance, Security, and Compliance
- Protecting transformations and credentials
- Data lineage and traceability
- Regulatory and compliance requirements
Enterprise Orchestration and Scheduling
- Oversight of large job networks
- Error recovery and failover mechanisms
- Environment-level orchestration
Repository, Version Control, and CI/CD
- Enterprise repository strategies
- Integration of PDI with Git
- Continuous deployment workflows
Deployment, Monitoring, and Production Operations
- Transitioning solutions across environments
- Operational tools and dashboards
- End-to-end production readiness
Summary and Next Steps
Requirements
- Comprehension of ETL pipelines and data modeling
- Familiarity with intermediate-level PDI transformations
- Proficiency in SQL and scripting
Target Audience
- Senior data engineers
- ETL architects
- Professionals overseeing complex data integration workloads
21 Hours
Testimonials (1)
It's a hands-on session.
