SAP BDC Fundamentals

Explore a layered BDC architecture that connects SAP and non-SAP data sources, transforms raw data into business-friendly models, and enables analytics, AI, and governance for secure, scalable insights.

Model data to transform raw information into meaningful business representations by linking fact models, business entities, semantic tags, and business catalogs for unified analytics and cross-department insights.

The semantic layer bridges technical data structures and business insights using business entities, measures, and fact models to deliver consistent, context-rich insights across finance, sales, supply chain, and hr.

Evaluate data federation and data replication in BDC to support real-time dashboards and high-volume analytics across multi-cloud environments, balancing cost, governance, and offline capabilities.

Connect real-time SAP S/4HANA data with BW/4HANA and SAP BTP through BDC, enabling data federation, unified analytics, and governance across the enterprise.

BDC unifies data across SAP and non-SAP systems, enabling secure, governed integration with APIs, connectors, and data services for a single source of truth and enterprise-wide analytics.

Unify diverse data landscapes by leveraging APIs, connectors, and integration frameworks in business data cloud to deliver real-time and batch data across SAP and non-SAP systems, securely and at scale.

BDC enables seamless connectivity to AWS, Azure, and GCP across data lakes, storage, and AI services, unifying SAP data with cloud-native tools while enabling cost efficiency and vendor flexibility.

Explore real-time versus batch data ingestion strategies, with BDC supporting both to enable near-zero latency for live dashboards and cost-efficient scheduled bulk updates.

Integrate partner and third-party solutions with BDC to unify operations across apps, cloud platforms, and analytics tools using APIs, connectors, and SAP BTP extensions.

Define business entities and relationships in SAP BDC to create a shared semantic model. Map fields, apply semantic tags, and govern cross-domain analytics across dashboards and reports.

Explore how semantic tagging and business catalogs transform technical data into business-friendly knowledge assets, enabling governance, consistent definitions, and self-service analytics across the enterprise.

The business layer bridges raw data and business-friendly analytics by turning complex data into entities, measures, dimensions, and hierarchies, enabling self-service analytics with governance, data lineage, and semantic consistency.

Expose BDC data models to SAC to enable real-time dashboards, predictive analytics, and planning with live connections or data acquisition under role-based access control and audit logs.

Improve performance by optimizing data pipelines, models, and ingestion to deliver fast analytics and seamless self-service exploration. Use star schemas and semantic layers with selective aggregation to reduce query load.