Course Outline
Advanced Transformation Building Blocks for Government
- Working with complex data types in government systems
- Managing fields, metadata, and dynamic structures for enhanced data governance
- Developing reusable transformation patterns to streamline processes
Parameters, Variables, and Job-Oriented Design for Government
- Utilizing runtime variables and scoping in government applications
- Parameterizing transformations to enhance flexibility and scalability
- Implementing parent-child job structures for efficient task management
Database Integration and Lookup Strategies for Government
- Advanced lookup steps to improve data accuracy and efficiency
- Caching strategies to optimize performance in government databases
- Designing efficient join operations for robust data integration
Working with Files, APIs, and External Systems for Government
- Processing JSON and XML formats for interoperability
- Calling REST and SOAP services to integrate external data sources
- Implementing streaming and batch loads for comprehensive data management
Error Handling and Data Quality Techniques for Government
- Capturing and routing errors to ensure data integrity
- Applying data validation patterns to maintain high standards of accuracy
- Auditing and logging practices for transparency and accountability
Performance Tuning Essentials for Government
- Optimizing step design to enhance system performance
- Considering memory and threading configurations for efficient resource utilization
- Detecting and addressing bottlenecks to ensure smooth operations
Introduction to Repository-Based Development for Government
- Utilizing the Pentaho repository for centralized data management
- Implementing version management practices for controlled development cycles
- Fostering team collaboration to enhance project outcomes
Deployment and Migration Practices for Government
- Promoting jobs between environments to facilitate seamless transitions
- Implementing configuration management strategies to maintain system consistency
- Adhering to operational best practices for robust and reliable deployments
Summary and Next Steps
Requirements
- An understanding of Extract, Transform, and Load (ETL) fundamentals for government data management
- Experience with Pentaho Data Integration
- Basic knowledge of data warehousing concepts
Audience
- ETL developers for government agencies
- Data engineers in the public sector
- Technical professionals seeking to expand their PDI skills for government projects
Testimonials (2)
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course - KNIME Analytics Platform for BI
It's a hands-on session.