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The SAP Business Data Cloud (BDC) Training Syllabus is a job-oriented program focused on SAP’s next-generation data and analytics ecosystem, combining SAP Datasphere, advanced analytics, and AI-driven insights. It explains how enterprise data is integrated, modeled, governed, and consumed across SAP and non-SAP systems for real business use cases. This training is important because organizations need unified, trusted data platforms to support analytics, AI, and intelligent decision-making at scale. It is ideal for data engineers, SAP consultants, analytics professionals, and cloud or data architects who want practical, production-ready skills aligned with modern SAP data strategies.
Target Roles:
SAP Business Data Cloud Consultant
SAP Datasphere / Analytics Consultant
SAP Data Engineer
SAP BI / Reporting Consultant
Duration of Training : 40-60 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Detailed Syllabus • Hands-on Labs • Assignments • Real – Time Scenarios
Curriculum Designed by Experts
Topics
SAP Business Data Cloud – Vision & Architecture
Relationship between:
SAP BDC
SAP Datasphere
SAP Analytics Cloud (SAC)
SAP AI / Joule
Comparison with:
SAP BW/4HANA
SAP Native HANA
Snowflake / Databricks
Business use cases for BDC
Assignment
Map a legacy SAP BW landscape to SAP BDC architecture
Job Scenario
Customer wants to move from BW to cloud without breaking reports.
Topics
Data Product concept
Business semantic layer
Data federation vs replication
SAP HANA Cloud integration
Open data ecosystem (non-SAP sources)
Lab
Explore BDC tenant
Understand workspace & data products
Assignment
Design BDC architecture for a retail enterprise
Topics
SAP source integration:
S/4HANA
ECC
SuccessFactors
Non-SAP sources:
Flat files
Cloud DBs
APIs
Replication options
Data flows & pipelines
Lab
Connect SAP S/4HANA data
Load external CSV / API data
Job Scenario
Real-time vs batch data decision for finance reporting.
Topics
Spaces & security model
Local tables vs remote tables
Graphical views
SQL views
Analytic models
Business entities
Lab
Build end-to-end Datasphere model
Create reusable data products
Assignment
Create a unified sales data model from multiple sources
Topics
Authorization concepts
Space-level security
Row-level & column-level security
Data lineage & impact analysis
Catalog & metadata management
Job Scenario
Finance users see HR data → fix authorization model.
Topics
Live vs import connections
Stories & dashboards
Models in SAC
Planning overview (optional)
Performance best practices
Lab
Create SAC live report on BDC data
Build executive dashboard
Assignment
Design KPI dashboard for CXO level
Topics
Predictive scenarios
Smart insights
SAP Joule & AI use cases
ML model consumption (high-level)
Integration with external AI tools
Job Scenario
Sales forecasting using historical + external data.
Topics
Push-down logic
Federation performance
Data volume management
Cost-aware modeling
Monitoring & alerts
Assignment
Optimize slow-running analytics model
Topics
BW to BDC migration approach
Hybrid landscapes
Data reconciliation
Validation techniques
Cutover strategy
Job Scenario
Parallel run of BW & BDC during quarter close.
Topics
Monitoring pipelines
Data refresh failures
Authorization issues
Performance incidents
Transport & lifecycle management
L1 / L2 / L3 Mapping
L1:Â Access, refresh failures
L2:Â Modeling, data issues
L3:Â Architecture & optimization
Project: Enterprise Business Data Cloud Implementation
Scope
Integrate SAP S/4HANA + external data
Build Datasphere semantic model
Publish data products
Create SAC dashboards
Implement security & governance
Deliverables
Architecture document
Data model design
Security matrix
Dashboard KPIs
Support SOP
Finance Analytics (Actual vs Budget)
Sales Performance Dashboard
Supply Chain Visibility
HR Attrition Analysis
✔ 30+ Interview Questions
✔ Real client architecture diagrams
✔ Migration checklist
✔ Resume project explanation templates
After this training, learners can:
✅ Implement SAP Business Data Cloud end-to-end
✅ Build governed, reusable data products
✅ Integrate SAP & non-SAP data
✅ Work as SAP BDC / Datasphere / Analytics Consultant
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