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コース概要
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
要求
- 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 時間
お客様の声 (2)
トレーナーはとても優秀で、主題をよく理解しており、私たちの質問にわかりやすく説明してくれたので、とても助かりました。
Dirman Ionut - HELLA Ghiroda
コース - SAP PM Fundamentals to Advanced
Machine Translated
I was very impressed with the trainers preparation. As he went along he kept going back over the subjects that he had covered
