Welcome to my structured learning journal for SAP Datasphere!
This repository tracks my step-by-step progress as I explore SAP Datasphere concepts, features, and practical use cases—perfect for reinforcing what I learn and sharing insights with others.
- Understand SAP's modern data warehousing strategy
- Configure SAP Datasphere environments (Spaces & Integrations)
- Build and model datasets using the Data Builder
- Integrate SAP Datasphere with SAP Analytics Cloud (SAC)
- Apply best practices for enterprise data architecture
| Module | Title | Units |
|---|---|---|
| Module 1 | Identifying the Strategy for SAP Datasphere | 3 |
| Module 2 | Preparing the Landscape | 2 |
| Module 3 | Modeling in SAP Datasphere | 4 |
| Module 4 | Consuming Models with SAP Analytics Cloud | 1 |
Each module file includes:
- A brief summary
- Individual unit overviews
- 📊 SAP Datasphere
- ☁️ SAP Analytics Cloud (SAC)
- 🔧 Markdown for documentation
- 🗃️ GitHub for versioning and public sharing
This is a personal learning project. If you're on a similar path and want to contribute notes or corrections, feel free to fork and PR—or just open an issue!
MIT License – use, share, or adapt these notes as long as you give credit.
✨ If you find this helpful, give the repo a ⭐️ or share it with others learning SAP Datasphere!