SAP Business Data Cloud (BDC) Online Training

SAP Business Data Cloud (BDC) Training Content

Module 1: Introduction to SAP Business Data Cloud (BDC)
Topic 1: Overview and Fundamentals
Topic 2: Architecture of BDC
Topic 3: Sizing and Licensing Cost of SAP BDC
Topic 4: BDC Components and Foundation Services
Topic 5: Intelligent Applications

Module 2: Data Sources & Connectivity
Topic 1: SAP Source Systems (S/4HANA, BW/4HANA, ECC, etc.)
Topic 2: Non-SAP Source Systems (Databases, APIs, Cloud sources)
Topic 3: Custom Data Product generation from SAP & Non-SAP systems
Topic 4: Connectivity Options (Cloud Connectors, JDBC, APIs, DPAgent)

Module 3: Data Modeling in BDC & Datasphere
Topic 1: Relational Models, Views, Associations, Entities, Remote Tables
Topic 2: Virtual Data Models (VDMs)
Topic 3: Change Data Capture (CDC)
Topic 4: Business Layer and Semantic Enrichment
Topic 5: End-to-End Data Modeling: Tables, Views, Analytical Models

Module 4: Data Flows & Integration
Topic 1: Replication Flows and Data Flows
Topic 2: Transformations and Orchestration
Topic 3: Real-time, Scheduled, and Delta Flows
Topic 4: Integration Scenarios: Third-Party Data, Event Mesh, APIs

Module 5: SAP BW PCE & BDC/Datasphere Integration
Topic 1: Extending SAP BW into SAP BDC Capabilities
Topic 2: Data Product Generator, Data Storage in Object Store
Topic 3: Exposing BW data as Data Products
Topic 4: Consumption of SAP BW data as Data Products
Topic 5: Hybrid Scenarios: BW + Datasphere + BDC

Module 6: Integration with Databricks
Topic 1: Sharing BDC Data Products with SAP Databricks
Topic 2: JDBC-based Replication Flows with SAP Data
Topic 3: Delta Table Sharing (Zero Copy)
Topic 4: Delta Sharing between BDC and Datasphere
Topic 5: Unity Catalog for SAP/Non-SAP Data in Databricks
Topic 6: ML Flow Integration for SAP data pipelines
Topic 7: Pipeline Creation (Bronze, Silver, Gold Delta Tables)
Topic 8: ML Modeling using Mosaic AI
Topic 9: Databricks SQL for BI/SAC Dashboards

Module 7: SAP Analytics Cloud (SAC)
Topic 1: Enterprise Planning and Extended Planning & Analysis (xP&A)
Topic 2: Augmented & Predictive Analytics (Smart Predict, Predictive Planning)
Topic 3: Analytical Applications and Custom Widgets
Topic 4: Joule Integration & "Just Ask" Feature in SAC
Topic 5: SAC Live vs Import Connections with Datasphere
Topic 6: SAC Embedded in SAP Applications (S/4HANA, SuccessFactors)
Topic 7: Best Practices in SAC

Module 8: Administration & Operations
Topic 1: Space Management
Topic 2: Tenant Management
Topic 3: Connections & System Integrations
Topic 4: Administration via Command Line (CLI)
Topic 5: Monitoring, Logging & Cost Optimization
Topic 6: Transport & Lifecycle Management

Module 9: Security & Governance
Topic 1: Data Catalogs & Metadata Management
Topic 2: Data Lineage and Business Glossary
Topic 3: Encryption (data at rest & in transit)
Topic 4: Access Control, Roles & Authorizations
Topic 5: Data Privacy & Compliance (GDPR, CCPA, Industry-specific)
Topic 6: Transport Handling & Governance across environments

Module 10: Enterprise Use Cases & Best Practices
Topic 1: End-to-End Enterprise Use Cases (Retail, Manufacturing, BFSI, Pharma)
Topic 2: Custom Scenario: Third-Party Data Integration into BDC
Topic 3: Data Marketplace & Monetization Strategies
Topic 4: Data Mesh Architecture with BDC, Datasphere, Databricks
Topic 5: Data Ops/DevOps for SAP Data Landscape (CI/CD for Data Artifacts)
Topic 6: Monitoring & Observability (Grafana, Kibana, BTP Cockpit)
Topic 7: Joule & AI-Assisted Use Cases across Datasphere & SAC
Topic 8: Future Roadmap: SAP BDC + Databricks + AI/ML

 

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