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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
35 Hours
Testimonials (1)
A trainer with very extensive practical knowledge and great contact with participants. A nice, open person :) What I liked most was responding to the participants' needs and providing comprehensive answers to specific questions. we felt that he really wanted to help us and teach us how to use the tools presented.
Anna - Polska Spółka Gazownictwa sp. z o.o.
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