Curriculum for Applied Data Fabric with SAP Datasphere
🌍 Goal:
-Master Enterprise Data Fabric Architecture with SAP Datasphere — enabling unified, governed, and harmonized data across SAP and non-SAP systems.
-Gain real-world expertise in data integration, modeling, governance, and consumption through industry-grade, hands-on use cases aligned with Global Industry Classification Standard (GICS) sectors Taxonomy.
🎯 Prerequisite:
- Level 2 application-oriented program — assumes basic understanding of data modeling and SAP Analytics Cloud (SAC).
- Prior experience with SQL, BW/4HANA, or data integration concepts recommended (not mandatory).
- Focus on real-world enterprise scenarios, not certification-style MCQs.
⏱️ Duration:
60 Hours (30 Sessions × 2 hrs/day)
🏗️ Structure:
Hands-on, data foundation and integration-focused curriculum emphasizing end-to-end enterprise data scenarios, multi-source integration, and data fabric governance.
💡 What it is not:
-Not a “feature demo” or “click-by-click tutorial.”
-It’s a mentored learning experience where participants actively build enterprise-grade data architectures.
📋 Curriculum Overview (Hands-On + Case Study Focus)
SAP Datasphere
Table view
Title
Column 1
Column 2
Column 3
Column 4
Column 5
Getting Started
Datasphere Overview & Architecture
Understand data fabric architecture, components, and navigation
Build first space and explore Data Marketplace
2
Space Management
Creating Spaces & Connections
Create spaces, manage users, connections, and monitor capacity
Setup separate spaces for Finance, HR, and Sales
2
Data Integration
Connecting SAP & Non-SAP Sources
Configure connections to S/4HANA, BW, SQL, and Data Lake
Connect to SAP BW Bridge & import initial datasets
2
Data Integration
Replication vs Federation
Compare data access types and performance trade-offs
Implement hybrid data strategy for finance consolidation
2
Data Flow Design
Basic Data Flows
Use data flows for transformations, joins, and filters
Load product data from CSV + enrich via Data Marketplace
2
Data Flow Design
Advanced Data Flows
Build multi-step data pipelines, conditional logic, and lookups
ETL pipeline for regional sales performance model
2
Data Modeling
Physical & Logical Models
Create tables, define relationships, apply joins & hierarchies
Design enterprise customer master data model
2
Data Modeling
Business Layer Modeling
Create business entities, apply measures, hierarchies, semantics
Build multi-dimensional profitability model
2
Data Modeling
Advanced SQL Modeling
Use SQL views and calculated columns
Model Gross Margin % with custom SQL expressions
2
Data Enrichment
Data Marketplace & CSV Integration
Add external data and harmonize metadata
Import inflation indices for financial forecasting
2
Data Governance
Catalog, Glossary, and Lineage
Curate assets, publish datasets, track lineage
Build a data catalog for Finance KPIs
2
Data Governance
Impact Analysis & Metadata Management
Assess change impact and metadata lineage
Track dependency chain for revenue models
2
Security
User Roles & Access Controls
Manage tenant, functional, and space-level security
Implement row-level security for confidential HR data
2
Security
Data Privacy & Auditing
Configure auditing and anonymization
Enable audit trails and masking for sensitive data
2
Data Protection
Connectivity & Compliance
Apply secure connections and governance policies
Connect via Secure Agent to SAP HANA Cloud
2
Data Warehousing
Core & Harmonization Layers
Design layered architecture (staging, core, consumption)
Build 3-layer data warehouse model for retail chain
2
Data Warehousing
Star Schema & Data Vault Modeling
Apply modeling patterns for analytics readiness
Transform normalized sales data to star schema
2
Data Federation
Virtualization Techniques
Virtualize data from remote sources
Query non-replicated data in real-time via federation
2
Data Federation
Hybrid Integration with BW Bridge
Leverage BW Bridge objects in Datasphere
Combine legacy BW and new Datasphere models
2
Business Modeling
Analytical Model Design
Create multi-dimensional analytical models
Financial performance cube for board reporting
2
Business Modeling
KPIs, Measures & Hierarchies
Build reusable KPIs and aggregation logic
Design KPI library for enterprise scorecard
2
Consumption
Connecting to SAC
Live connection setup and data exposure
Create SAC story using Datasphere model
2
Consumption
External Tools (Excel & OData APIs)
Access data from external tools
Use OData API in Power BI & Excel
2
Data Marketplace
Creating & Publishing Data Products
Publish trusted datasets internally
Build “Finance Data Product” for enterprise use
2
Data Marketplace
Consuming & Collaborating on Data Products
Subscribe and use other teams’ datasets
HR team consumes Finance dataset for workforce cost
2
Administration
Monitoring & Operations
Manage tenants, monitor jobs, handle errors
Monitor daily ETL jobs and data refresh schedules
2
Automation
CLI & API Access
Use command line for automation and object management
Automate space creation using CLI scripts
2
Advanced Integration
Datasphere + Data Intelligence
Use orchestration and data fabric integration
End-to-end data flow with Data Intelligence pipeline
2
Capstone Project
End-to-End Data Fabric Solution – Part 1
Design a unified data architecture across domains
Data fabric for Finance, HR, and SCM integration
2
Capstone Project
End-to-End Data Fabric Solution – Part 2
Finalize project, documentation, and presentation
Go-live checklist & governance reporting setup
2
📊 Learning Path Summary
Week 1: Foundation & Connectivity
Week 2: Data Integration & Modeling
Week 3: Governance, Security & Warehousing
Week 4: Federation, Business Modeling & Consumption
Week 5: Marketplace, Automation & Data Fabric Integration
Week 6: Capstone – Enterprise Data Fabric Implementation
🎯 Key Differentiators
- 🧩 End-to-End Hands-On Practice: Every session builds a real enterprise data model.
- 🌐 Industry-Relevant Scenarios: Covers use cases from GICS sectors (Retail, Manufacturing, Utilities, etc.).
- 🏢 Enterprise Data Fabric Blueprint: Participants design production-grade architectures.
- ⚙️ SAP Ecosystem Integration: Integrates Datasphere with SAC, Data Intelligence, and BTP.
- 🧠 Mentor-Led Program: Interactive sessions with flexibility for real-world challenges.
🎓 Assessment & Outcomes
After completing this 60-hour curriculum, learners will:
✅ Master SAP Datasphere across all functional domains.
✅ Build secure, governed enterprise data models ready for SAC consumption.
✅ Integrate SAP and non-SAP data using federation, replication, and APIs.
✅ Apply data governance, lineage, and privacy best practices.
✅ Be prepared for consulting-grade implementation projects and SAP Activate methodology execution.
📚 Recommended Resources
- SAP Learning Hub: Datasphere & Data Fabric Learning Journeys
- SAP Help Portal: Datasphere documentation & sample content
- SAP Community: Blogs, tutorials, and expert use cases
- SAP Datasphere Trial / BTP Free Tier: Hands-on sandbox
- Business Content Explorer: Industry templates for finance, supply chain, manufacturing, and retail
🧩 Challenge & Hackathon Details
3-Week Challenge Series:
- Week 1 — Multi-Source Integration & Space Management
- Week 2 — Data Modeling & Governance
- Week 3 — Data Fabric and SAC Integration
💰 Commercial Breakdown
Particulars | Details |
Hourly Rate | ₹25,000 INR |
Total Hours | 60 |
Base Cost | ₹15,00,000 INR |
GST (18%) | ₹2,70,000 INR |
✅ Total (including GST) | ₹17,70,000 INR |
⚙️ Note:
- Lab cost not included — client to provide or a certified vendor reference can be arranged.
- Includes guided mentorship and evaluation support.
📅 Available After: 1st Dec 2025
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