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.
Course Outline
Enterprise Architecture and Pipeline Design
- Multi-layer ETL architectures
- Creating modular and reusable components
- Hybrid approaches across various systems
Advanced Performance Engineering
- Step-level optimization techniques
- Strategies for parallelism and threading
- Monitoring pipelines under high load
Automation, Scripting, and Custom Extensions
- Incorporating scripting within transformations
- Developing custom plugins
- Enhancing PDI capabilities using Java and JavaScript
Complex Data Processing and Integrations
- Real-time and streaming data integrations
- Working with big data platforms
- Advanced file and API processing
Data Governance, Security, and Compliance
- Securing transformations and managing 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
- Environment-level orchestration strategies
Repository, Version Control, and CI/CD
- Enterprise repository strategies
- Integrating PDI with Git
- Continuous deployment patterns
Deployment, Monitoring, and Production Operations
- Promoting solutions across different environments
- Utilizing operational tooling and dashboards
- Achieving end-to-end production readiness
Summary and Next Steps
Requirements
- A foundational understanding of ETL pipelines and data modeling.
- Practical experience with intermediate-level PDI transformations.
- Proficient skills in SQL and scripting.
Target Audience
- Senior data engineers
- ETL architects
- Professionals overseeing complex data integration workloads
21 Hours
Testimonials (2)
That it was very practical.
Alfonso Ramos - Banco de Mexico
Course - Fundamentos de Integración de Datos Pentaho
Machine Translated
It's a hands-on session.
