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Duration 21 hours
Course Outline
Enterprise Architecture and Pipeline Design
- Multi-layer ETL architectures.
- Crafting modular and reusable components.
- Implementing hybrid approaches across various 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 within transformations.
- Creating custom plugins.
- Extending PDI capabilities using Java and JavaScript.
Complex Data Processing and Integrations
- Real-time and streaming data integration.
- Interacting with big data platforms.
- Advanced handling of files and APIs.
Data Governance, Security, and Compliance
- Protecting transformations and managing credentials.
- Establishing data lineage and traceability.
- Addressing regulatory and compliance requirements.
Enterprise Orchestration and Scheduling
- Managing extensive job networks.
- Designing error recovery and failover mechanisms.
- Orchestrating at the environment level.
Repository, Version Control, and CI/CD
- Strategies for enterprise repositories.
- Integration of PDI with Git.
- Implementing continuous deployment patterns.
Deployment, Monitoring, and Production Operations
- Promoting solutions across different environments.
- Utilizing operational tools and dashboards.
- Achieving end-to-end production readiness.
Summary and Next Steps
Requirements
- A solid grasp of ETL pipelines and data modeling principles.
- 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)
It's a hands-on session.
