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 Duration 14 hours

Course Outline

Fundamentals of SAP Data Services

  • Summary of platform features and capabilities
  • Principles of Extract, Transform, and Load (ETL) operations

Establishing Data Source Connectivity

  • Setting up links to SAP and third-party data repositories
  • Administering connection parameters and access controls
  • Processing diverse data structures and formats

Architecting ETL Workflows

  • Constructing data pipelines and process sequences
  • Applying data transformations through mappings and logic expressions
  • Quality assurance and troubleshooting of ETL procedures

Populating Target Systems

  • Defining load configuration parameters
  • Ingesting data into SAP HANA, SAP BW, and other environments
  • Orchestrating incremental loads and data synchronization cycles

Performance Monitoring and Tuning

  • Oversight of workflow execution and job status
  • Detection and remediation of performance bottlenecks
  • Enhancing ETL efficiency and resource utilization

Advanced Capabilities and Configuration

  • Deployment of complex transformation logic
  • Utilization of scripting and automated execution tools
  • Integration with the broader SAP solution ecosystem

Concluding Remarks and Recommended Actions

Requirements

  • Fundamental understanding of Extract, Transform, and Load (ETL) methodologies
  • Practical familiarity with SAP architectures and database systems

Intended Audience

  • Information Technology Specialists
  • Data Governance and Management Personnel

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