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Duration 21 hours
Course Outline
Enterprise Architecture and Pipeline Design
- Multi-layer ETL architectures
- Creating modular and reusable components
- Hybrid strategies across different systems
Advanced Performance Engineering
- Step-level performance optimization
- Strategies for parallelism and threading
- Monitoring pipelines under high load
Automation, Scripting, and Custom Extensions
- Incorporating scripting into transformations
- Building custom plugins
- Enhancing PDI capabilities using Java and JavaScript
Complex Data Processing and Integrations
- Real-time and streaming data integration
- Integration with big data platforms
- Advanced file and API processing techniques
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
- Enterprise repository management strategies
- Integration of PDI with Git
- Implementing continuous deployment patterns
Deployment, Monitoring, and Production Operations
- Promoting solutions across different environments
- Utilizing operational tooling and dashboards
- Ensuring end-to-end production readiness
Summary and Next Steps
Requirements
- Familiarity with ETL pipelines and data modeling concepts
- Practical experience with intermediate-level PDI transformations
- Proficient skills in SQL and scripting
Target Audience
- Senior data engineers
- ETL architects
- Professionals overseeing complex data integration workloads
Testimonials (1)
It's a hands-on session.
