Course Outline
Advanced Transformation Building Blocks for Government
- Working with complex data types to support comprehensive government datasets.
- Managing fields, metadata, and dynamic structures to ensure accurate and adaptable data handling.
- Reusable transformation patterns to streamline processes and enhance efficiency in government operations.
Parameters, Variables, and Job-Oriented Design for Government
- Runtime variables and scoping to provide flexibility in data processing tasks.
- Parameterizing transformations to facilitate dynamic and responsive data workflows.
- Parent-child job structures to organize and manage complex data operations effectively.
Database Integration and Lookup Strategies for Government
- Advanced lookup steps to optimize data retrieval from government databases.
- Caching strategies to enhance performance and reduce load times in government systems.
- Efficient join designs to ensure accurate and timely data integration.
Working with Files, APIs, and External Systems for Government
- Processing JSON and XML to support interoperability with various government systems.
- Calling REST and SOAP services to integrate with external government platforms.
- Streaming and batch loads to manage data flows efficiently in government operations.
Error Handling and Data Quality Techniques for Government
- Capturing and routing errors to maintain data integrity and system reliability.
- Data validation patterns to ensure the accuracy and completeness of government data.
- Auditing and logging to provide transparency and accountability in data processes.
Performance Tuning Essentials for Government
- Optimizing step design to maximize efficiency in government data operations.
- Memory and threading considerations to ensure optimal resource utilization.
- Detecting bottlenecks to identify and resolve performance issues in government systems.
Introduction to Repository-Based Development for Government
- Using the Pentaho repository to centralize and manage data transformations.
- Version management to track changes and maintain a history of data operations.
- Team collaboration practices to foster effective cooperation among government teams.
Deployment and Migration Practices for Government
- Promoting jobs between environments to ensure smooth transitions in government systems.
- Configuration management to maintain consistent and reliable data processes.
- Operational best practices to support efficient and secure data operations.
Summary and Next Steps for Government
Requirements
- An understanding of ETL fundamentals for government
- Experience with Pentaho Data Integration
- Basic knowledge of data warehousing concepts
Audience
- ETL developers for government
- Data engineers for government
- Technical professionals expanding PDI skills for government
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.
