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
 21 Hours

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