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 Duration 21 hours

Course Outline

Advanced Transformation Architecture Components

  • Handling complex data structures
  • Managing fields, metadata, and dynamic schemas
  • Establishing reusable transformation frameworks

Parameters, Variables, and Task-Oriented Architecture

  • Runtime variables and scope management
  • Parameter-driven transformation design
  • Parent-child job hierarchies

Database Integration and Retrieval Strategies

  • Advanced lookup implementation
  • Data caching methodologies
  • Optimized join architecture

Interaction with Files, APIs, and External Systems

  • Processing JSON and XML formats
  • Consuming REST and SOAP services
  • Streaming and batch processing workflows

Error Management and Data Integrity Protocols

  • Exception capture and routing
  • Data validation standards
  • System auditing and logging

Performance Optimization Fundamentals

  • Step design optimization
  • Memory and threading resource allocation
  • Performance bottleneck identification

Introduction to Repository-Centric Development

  • Utilizing the Pentaho repository
  • Version control management
  • Collaborative team workflows

Deployment and Migration Standards

  • Job promotion across environments
  • Configuration governance
  • Operational best practices

Conclusion and Future Directions

Requirements

  • Foundational understanding of ETL principles
  • Practical experience with Pentaho Data Integration
  • Basic proficiency in data warehousing concepts

Target Audience

  • ETL developers
  • Data engineers
  • Technical professionals seeking to expand PDI competencies for government applications

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