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 (2)
Pengetahuan guru
Collin Sampson
Course - SAP S/4HANA Overview (S4H00)
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Saya menyukai kenyataan bahwa pelatihnya sangat fleksibel dan menawarkan informasi tentang mata pelajaran yang tidak termasuk dalam materi awal. Saya menyukai pengalamannya di proyek lain dan tips serta trik yang dihasilkan dari pengalaman ini. Pelatihannya bersifat interaktif dan meskipun latihannya telah ditentukan sebelumnya, kami dapat mengarahkan latihan ini ke arah yang berbeda dari yang ditentukan sebelumnya.
Maria-Cristina Socol - NTT DATA Romania S.A.
Course - SAP S/4 Hana (S/4Hana)
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