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Course Outline
Enterprise Architecture and Pipeline Strategy
- Multi-tier ETL architecture models.
- Crafting modular, reusable components.
- Implementing hybrid cross-system approaches.
High-Level Performance Engineering
- Step-by-step optimization techniques.
- Strategies for parallelism and threading.
- Monitoring pipelines under heavy load.
Automation, Scripting, and Custom Extensions
- Embedding scripts within transformations.
- Building custom plugins.
- Expanding PDI functionality using Java and JavaScript.
Advanced Data Processing and Integrations
- Real-time and streaming data integration.
- Interacting with big data platforms.
- Sophisticated file and API handling.
Data Governance, Security, and Compliance
- Protecting transformations and credentials.
- Ensuring data lineage and traceability.
- Addressing regulatory and compliance requirements.
Enterprise Orchestration and Scheduling
- Overseeing extensive job networks.
- Designing error recovery and failover mechanisms.
- Orchestrating across different environments.
Repository Management, Version Control, and CI/CD
- Enterprise-focused repository strategies.
- Integrating PDI with Git.
- Implementing continuous deployment workflows.
Deployment, Monitoring, and Production Operations
- Migrating solutions between environments.
- Utilizing operational tools and dashboards.
- Achieving end-to-end production readiness.
Recap and Future Directions
Requirements
- Familiarity with ETL pipelines and data modeling concepts.
- Hands-on 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 tasks.
21 Hours
Testimonials (1)
It's a hands-on session.
