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Course Outline
Enterprise Architecture and Pipeline Design
- Multi-layer ETL architecture structures.
- Creating modular and reusable components.
- Hybrid integration approaches across different systems.
Advanced Performance Engineering
- Optimization at the step level.
- Strategies for parallelism and threading.
- Monitoring pipelines under high load.
Automation, Scripting, and Custom Extensions
- Using scripting within transformations.
- Building custom plugins.
- Expanding PDI functionality with Java and JavaScript.
Complex Data Processing and Integrations
- Integrations for real-time and streaming data.
- Interacting with big data platforms.
- Advanced handling of files and APIs.
Data Governance, Security, and Compliance
- Protecting transformations and credentials.
- Tracking data lineage and traceability.
- Addressing regulatory and compliance requirements.
Enterprise Orchestration and Scheduling
- Overseeing large job networks.
- Designing error recovery and failover mechanisms.
- Orchestration at the environment level.
Repository, Version Control, and CI/CD
- Strategies for enterprise repositories.
- Connecting PDI with Git.
- Continuous deployment patterns.
Deployment, Monitoring, and Production Operations
- Advancing solutions across different environments.
- Operational tools and dashboards.
- Ensuring end-to-end production readiness.
Summary and Next Steps
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 overseeing complex data integration workloads.
21 Hours
Testimonials (1)
It's a hands-on session.
