Course Outline

Advanced Transformation Building Blocks

  • Working with complex data types
  • Managing fields, metadata, and dynamic structures
  • Reusable transformation patterns

Parameters, Variables, and Job-Oriented Design

  • Runtime variables and scoping
  • Parameterizing transformations
  • Parent-child job structures

Database Integration and Lookup Strategies

  • Advanced lookup steps
  • Caching strategies
  • Efficient join designs

Working with Files, APIs, and External Systems

  • Processing JSON and XML
  • Calling REST and SOAP services
  • Streaming and batch loads

Error Handling and Data Quality Techniques

  • Capturing and routing errors
  • Data validation patterns
  • Auditing and logging

Performance Tuning Essentials

  • Optimizing step design
  • Memory and threading considerations
  • Detecting bottlenecks

Introduction to Repository-Based Development

  • Using the Pentaho repository
  • Version management
  • Team collaboration practices

Deployment and Migration Practices

  • Promoting jobs between environments
  • Configuration management
  • Operational best practices

Summary and Next Steps

Requirements

  • An understanding of ETL fundamentals
  • Experience with Pentaho Data Integration
  • Basic knowledge of data warehousing concepts

Audience

  • ETL developers
  • Data engineers
  • Technical professionals expanding PDI skills
 21 Hours

Delivery Options

Private Group Training

Our identity is rooted in delivering exactly what our clients need.

  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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