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Course Outline

Advanced Transformation Components

  • Handling complex data types
  • Managing fields, metadata, and dynamic structures
  • Developing reusable transformation patterns

Parameters, Variables, and Job-Oriented Architecture

  • Runtime variable management and scoping
  • Parameterization of transformations
  • Parent-child job structures

Database Integration and Lookup Strategies

  • Advanced lookup step implementations
  • Strategic caching approaches
  • Designing efficient joins

Interacting with Files, APIs, and External Systems

  • Processing JSON and XML formats
  • Invoking REST and SOAP services
  • Streaming versus batch loading techniques

Error Management and Data Quality Methods

  • Capturing and directing error flows
  • Establishing data validation patterns
  • Auditing and logging protocols

Performance Optimization Fundamentals

  • Refining step design for speed
  • Considerations for memory and threading
  • Identifying system bottlenecks

Overview of Repository-Based Development

  • Leveraging the Pentaho repository
  • Version control practices
  • Collaborative team workflows

Deployment and Migration Procedures

  • Migrating jobs across environments
  • Configuration management
  • Operational best practices

Conclusion and Future Directions

Requirements

  • A solid grasp of ETL fundamentals
  • Prior experience working with Pentaho Data Integration
  • Foundational knowledge of data warehousing concepts

Target Audience

  • ETL developers
  • Data engineers
  • Technical professionals seeking to expand their PDI expertise
 21 Hours

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