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Course Outline
Advanced Data Transformation Components
- Handling complex data structures
- Managing fields, metadata, and dynamic schemas
- Implementing reusable transformation patterns
Parameters, Variables, and Job-Centric Architecture
- Runtime variable definitions and scoping rules
- Parameterization of transformation logic
- Parent-child job hierarchies
Database Integration and Lookup Methodologies
- Advanced lookup configurations
- Cache management strategies
- Efficient join architecture design
Integration with Files, APIs, and External Systems
- Processing JSON and XML payloads
- Interacting with REST and SOAP services
- Streaming and batch data loading
Error Management and Data Integrity Standards
- Error capture and routing mechanisms
- Data validation frameworks
- Auditing and logging protocols
Performance Optimization Fundamentals
- Step design optimization
- Memory and threading allocation
- Identification of processing bottlenecks
Repository-Based Development Practices
- Utilization of the Pentaho repository
- Version control management
- Collaborative team workflows
Deployment and Migration Protocols
- Job promotion across environments
- Configuration governance
- Operational best practices for government systems
Summary and Recommended Path Forward
Requirements
- Proficiency in ETL fundamentals
- Practical experience with Pentaho Data Integration
- Foundational knowledge of data warehousing concepts
Target Audience
- ETL developers
- Data engineers
- Technical professionals expanding PDI expertise for government initiatives
21 Hours
Testimonials (2)
The clarity gained on how to build reports within OfficeConnect in Excel & learning how to create interactive dashboards were my favorite pieces of this training.
Patrick Fennell - Milwaukee Brewers Baseball Club, LP
Course - Adaptive OfficeConnect
It's a hands-on session.