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Course Outline

Introduction

Overview of SAP Data Hub Features and Architecture

  • Data hubs compared to data warehouses and data lakes
  • Key components and functions
  • Sizing considerations

Managing the Data Landscape

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

Working with Data Modelling

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

Ensuring 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
  • Customising settings
  • Upgrading and uninstalling

Monitoring SAP Data Hub

  • Diagnostics and logging
  • Monitoring via the Grafana UI
  • Dashboard monitoring

Securing SAP Data Hub

  • Data protection
  • Audit log management
  • User and service authentication
  • Configuring external identity providers

Exploring the Future Direction and Outlook of SAP Data Hub

Troubleshooting

Summary and Conclusion

Requirements

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

Target Audience

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

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Provisional Upcoming Courses (Require 5+ participants)

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