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 Duration 14 hours

Course Outline

Introduction to SAP Data Services

  • Survey of the platform's features and potential
  • Explaining the ETL lifecycle

Establishing Data Source Links

  • Setting up connections to SAP and external data repositories
  • Administering connection parameters and security credentials
  • Processing varied data structures

Architecting ETL Workflows

  • Constructing data pipelines and workflow logic
  • Applying transformations via mappings and formulas
  • Testing and troubleshooting ETL routines

Ingesting Data into Destinations

  • Configuring load parameters
  • Transferring data to SAP HANA, BW, and other platforms
  • Controlling incremental loads and data updates

Performance Monitoring and Refinement

  • Tracking ETL execution and job status
  • Diagnosing and correcting performance bottlenecks
  • Enhancing ETL logic for greater efficiency

Advanced Capabilities and Customization

  • Applying complex transformation logic
  • Leveraging scripting and automation utilities
  • Synchronizing with broader SAP solutions

Wrap-Up and Future Directions

Requirements

  • Fundamental understanding of ETL (Extraction, Transformation, and Loading) methodologies
  • Awareness of SAP system architectures and database structures

Target Audience

  • IT Specialists
  • Data Administrators

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