Course Outline


Overview of SAP Data Hub Features and Architecture

  • Data hubs versus data warehouses versus data lakes
  • Key components and functions
  • Sizing factors

Managing Data Landscape

  • Connectivity
  • Data ingestion
  • System and user management
  • Monitoring data operation

Working with Data Modeling

  • Data preparation
  • Using built-in and custom operators
  • Data pipelines
  • Data orchestration
  • Scheduling

Handling Data Quality and Integrity

  • Data discovery and profiling
  • Metadata catalog (repository, search, preview)
  • Metadata lineage

Configuring SAP Data Hub

  • SAP Data Hub Launchpad
  • Installation process
  • Customizing settings
  • Upgrading and uninstalling

Monitoring SAP Data Hub

  • Diagnostics and logging
  • Monitoring with Grafana UI
  • Dashboard monitoring

Securing SAP Data Hub

  • Data protection
  • Audit logs management
  • User and services authentication
  • Configuring external identity providers

Exploring SAP Data Hub Product Direction and Outlook


Summary and Conclusion


  • Experience with basic programming
  • Familiarity with big data, Internet of Things (IoT), or data warehouse concepts


  • Developers
  • Data engineers
  • Data scientists
  • Database administrators
  • Business analysts
  35 Hours


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