Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Enterprise Architecture and Pipeline Design
- Multi-layered ETL architectures
- Creating modular and reusable components
- Implementing hybrid approaches across various systems
Advanced Performance Engineering
- Optimization at the step level
- Strategies for parallelism and threading
- Monitoring pipelines under high load
Automation, Scripting, and Custom Extensions
- Embedding scripting within transformations
- Building custom plugins
- Enhancing PDI capabilities using Java and JavaScript
Complex Data Processing and Integrations
- Real-time and streaming data integration
- Integration with big data platforms
- Advanced processing of files and APIs
Data Governance, Security, and Compliance
- Protecting transformations and managing credentials
- Ensuring data lineage and traceability
- Addressing regulatory and compliance requirements
Enterprise Orchestration and Scheduling
- Overseeing large-scale 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
- Transitioning solutions across different environments
- Utilizing operational tools 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-level PDI transformations
- Strong proficiency in SQL and scripting
Target Audience
- Senior data engineers
- ETL architects
- Professionals overseeing complex data integration workloads
Testimonials (1)
It's a hands-on session.
