- 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
SAP Data Hub is an enterprise-grade data orchestration software that simplifies data flow management and governance across an organization.
This instructor-led, live training (online or onsite) is aimed at developers, data engineers, data scientists, database administrators, and business analysts who wish to install, deploy, and operate SAP Data Hub features to manage their organization's data landscape.
By the end of this training, participants will be able to use SAP Data Hub's data orchestration capabilities to manage data landscape, create data pipelines, and monitor data integrity and quality across their organization.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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