SAP BDC (Business Data Cloud) — also known as SAP Datasphere — is SAP’s next-generation cloud data platform that unifies enterprise data across SAP and non-SAP sources. This SAP BDC Training program is designed to help professionals develop the skills needed to modernize data analytics, build governed data models, orchestrate data pipelines, and deliver business insights through SAP BTP.

This program blends live instructor-led sessions, real industry labs, and case-based data scenarios to ensure participants gain both conceptual clarity and hands-on capability.

Prerequisites

• Basic knowledge of data modeling and database concepts

• Familiarity with SAP systems (optional but beneficial)

• Understanding of cloud environment basic
  Target Audience

  This course is a strategic fit for:

  • Data Engineers & Data Architects

  • SAP Analytics & BI Consultants

  • SAP BW / HANA Professionals moving into SAP Cloud

  • Data Governance, PMO & Digital Transformation Teams

  • IT Teams supporting SAP modernization initiatives

Upon completion of this SAP BDC Training, you will be able to:

• Understand SAP Business Data Cloud architecture and deployment models

• Create semantic data models and reusable data products

• Integrate data from SAP S/4HANA, SAP BW, ECC, cloud apps, and external DBs

• Design data flows, transformations, and scalable pipelines

• Apply governance, lineage, and security models in BDC

• Build analytics outputs and dashboards via SAP Analytics Cloud

• Operate BDC in enterprise environments with best-practice frameworks

SAP BDC Training Course Modules

Module 1: Introduction to SAP Business Data Cloud

• The evolution from SAP BW → HANA → Datasphere/BDC

• Role of SAP BTP in enterprise data strategy

• Core services, spaces, layers, and business context

Module 2: Connectivity & Data Integration

• SAP and non-SAP source connectivity

• Replication Flows vs Data Flows

• Real-time vs batch ingestion patterns

• Using SAP Data Marketplace

Module 3: Data Modeling & Semantic Layer

• Business data modeling principles

• Views, analytical models & associations

• Business layer abstraction for end-users

• Best practices for reusability and performance

Module 4: Data Products & Transformation Workflows

• Designing enterprise data products

• Join, filter, merge & transformation logic

• Data pipeline orchestration and dependency tracing

Module 5: Analytics & Consumption

• Using SAP Analytics Cloud with BDC

• KPI dashboards and storyboards

• Exposing models to Power BI / Tableau / Qlik

Module 6: Security, Governance & Lineage

• Space and user administration

• Roles, privileges, catalog & metadata governance

• Data lineage mapping & audit reporting

Module 7: Enterprise Implementation Case Study

• Multi-system landscape consolidation example

• Hybrid Data Warehouse Strategy

• Performance tuning & real project troubleshooting

🏗 Hands-On Practice Includes:

• Building data models and semantic layers

• Creating data flows & scheduling pipelines

• Implementing governance and data access controls

• Publishing analytics dashboards

💼 Career Opportunities After Training

Roles aligned with SAP BDC expertise:

Demand is strong due to global SAP S/4HANA and data-platform modernization initiatives.