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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

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