Course Outline
Introduction
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
Troubleshooting
Summary and Conclusion
Requirements
- Experience with basic programming
- Familiarity with big data, Internet of Things (IoT), or data warehouse concepts
Audience
- Developers
- Data engineers
- Data scientists
- Database administrators
- Business analysts
Testimonials (3)
I appreciated the clear structure of the training and the way the material was presented in an organized manner. It made it easier to follow and understand the key points.
Verified Client
Course - Mastering On-Premise SAP Fiori Development
The trainer was very good, he knew the subject well and know how to explain to us any questions we had and that helped us a lot.
Dirman Ionut - HELLA Ghiroda
Course - SAP PM Fundamentals to Advanced
I was very impressed with the trainers preparation. As he went along he kept going back over the subjects that he had covered
