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Duration 21 hours
Course Outline
Enterprise Architecture and Pipeline Design
- Multi-layer ETL architectures
- Designing modular and reusable components
- Hybrid approaches spanning multiple systems
Advanced Performance Engineering
- Step-level optimization techniques
- Strategies for parallelism and threading
- Monitoring pipelines under high load
Automation, Scripting, and Custom Extensions
- Utilizing scripting within transformations
- Developing custom plugins
- Enhancing PDI capabilities through Java and JavaScript
Complex Data Processing and Integrations
- Real-time and streaming integrations
- Interaction with big data platforms
- Advanced processing of files and APIs
Data Governance, Security, and Compliance
- Securing transformations and managing credentials
- Ensuring 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
- Integration of PDI with Git
- Patterns for continuous deployment
Deployment, Monitoring, and Production Operations
- Promoting solutions across different environments
- Utilizing operational tooling and dashboards
- Achieving end-to-end production readiness
Summary and Future Directions
Requirements
- Familiarity with ETL pipelines and data modeling concepts
- Practical experience with intermediate-level PDI transformations
- Strong proficiency in SQL and scripting languages
Target Audience
- Senior data engineers
- ETL architects
- Professionals responsible for managing complex data integration workloads
Testimonials (1)
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