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Duration 21 hours
Course Outline
Enterprise Architecture and Pipeline Design
- Multi-layer ETL architectures
- Creating modular and reusable components
- Hybrid integration approaches across systems
Advanced Performance Engineering
- Optimization at the step level
- Strategies for parallelism and threading
- Monitoring pipelines under high load
Automation, Scripting, and Custom Extensions
- Implementing scripts within transformations
- Building custom plugins
- Expanding PDI capabilities using Java and JavaScript
Complex Data Processing and Integrations
- Real-time and streaming integrations
- Interfacing with big data platforms
- Advanced file and API processing
Data Governance, Security, and Compliance
- Protecting transformations and credentials
- Tracking data lineage and 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
- Promoting solutions between environments
- Utilizing operational tools and dashboards
- Achieving 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
- Strong proficiency 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.
