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Course Outline

Enterprise Architecture and Pipeline Design

  • Multi-tiered ETL architecture designs
  • Creating modular, reusable data components
  • Cross-system hybrid integration methods

Advanced Performance Engineering

  • Optimizing steps for maximum efficiency
  • Strategies for parallelism and threading
  • Monitoring pipelines under high load

Automation, Scripting, and Custom Extensions

  • Embedding scripts within transformations
  • Building custom plugins
  • Expanding PDI functionality using Java and JavaScript

Complex Data Processing and Integrations

  • Real-time and streaming data integration
  • Interacting with big data platforms
  • Advanced processing of files and APIs

Data Governance, Security, and Compliance

  • Protecting transformations and managing credentials
  • Ensuring data lineage and traceability
  • Addressing regulatory and compliance requirements

Enterprise Orchestration and Scheduling

  • Oversight of extensive job networks
  • Designing error recovery and failover mechanisms
  • Orchestration at the environment level

Repository, Version Control, and CI/CD

  • Strategies for enterprise repositories
  • Integrating PDI with Git workflows
  • Implementing continuous deployment patterns

Deployment, Monitoring, and Production Operations

  • Migrating solutions across various environments
  • Utilizing operational tools and dashboards
  • Achieving end-to-end production readiness

Summary and Next Steps

Requirements

  • Familiarity with ETL pipelines and data modeling principles
  • Practical experience with intermediate-level PDI transformations
  • Proficiency in SQL and scripting languages

Target Audience

  • Senior data engineers
  • ETL architects
  • Specialists responsible for managing complex data integration tasks
 21 Hours

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