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Course Outline
Enterprise Architecture and Pipeline Strategy
- Multi-layer ETL architecture design
- Creating modular and reusable components
- Implementing hybrid approaches across diverse systems
Advanced Performance Engineering
- Optimizing at the step level
- Strategies for parallelism and threading
- Monitoring pipelines under high load
Automation, Scripting, and Custom Extensions
- Incorporating scripting within transformations
- Building custom plugins
- Expanding PDI functionality using Java and JavaScript
Complex Data Processing and Integrations
- Real-time and streaming data integration
- Interaction with big data platforms
- Advanced handling of files and APIs
Data Governance, Security, and Compliance
- Protecting transformations and 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
- Orchestrating 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 various environments
- Utilizing operational tooling 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 PDI transformations
- Strong proficiency in SQL and scripting languages
Target Audience
- Senior data engineers
- ETL architects
- Professionals overseeing complex data integration workloads
21 Hours
Testimonials (1)
It's a hands-on session.
