How SAP Business Data Cloud Works Together with Databricks

How SAP Business Data Cloud Works Together with Databricks

Raju MVN Raju MVN

Raju MVN

Chief Digital Officer || SAP S/4HANA Solution Advisory & Pre Sales for Utilities (BRIM/RAR/FICA ) -Commodity Management ( CTRM,CPE ) - Oil and Gas( TSW ) -Retail (MDG/TM)-Banking &Finance (FSCM-TRM)

发布日期: 2025年2月13日
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SAP Business Data Cloud (BDC) and Databricks work together to enable a unified enterprise data foundation that integrates SAP’s business-critical data with Databricks’ AI and analytics capabilities. The partnership ensures seamless data sharing, governance, and processing across SAP and non-SAP sources, empowering businesses with AI-driven insights and advanced analytics.

1 ,How SAP Business Data Cloud and Databricks Work Together

The integration follows a 4-step workflow that enables businesses to use SAP data within Databricks for AI-powered analytics.

Step 1: Data Connectivity & Integration

?? What Happens?

  • SAP Business Data Cloud provides native connectors to SAP S/4HANA, SAP BW/4HANA, and SAP Datasphere.
  • Databricks ingests SAP data along with non-SAP sources (e.g., IoT, CRM, social media, Snowflake, AWS, Azure).
  • Data is stored in an open format (Delta Lake) for easy sharing.

?? Example Use Case

  • A retail company connects SAP sales data (BDC) with customer engagement data (Databricks) to analyze customer behavior.

Step 2: Data Harmonization & Transformation

?? What Happens?

  • SAP Business Data Cloud ensures business context preservation (e.g., sales orders, inventory levels, financial transactions).
  • Databricks transforms raw data using Apache Spark & Delta Live Tables to create a single, AI-ready dataset.

?? Example Use Case

  • A manufacturer combines SAP supply chain transactions (BDC) with external weather and logistics data (Databricks) to predict supply chain disruptions.

Step 3: AI & Machine Learning for Business Insights

?? What Happens?

  • Databricks trains AI models on SAP data, enabling predictive analytics, forecasting, and automation.
  • BDC ensures that AI models are trained on semantically accurate SAP data.

?? Example Use Case

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  • A bank uses SAP Business Data Cloud for transaction processing and Databricks for fraud detection AI models.

Step 4: Data Governance, Security & Compliance

?? What Happens?

  • BDC applies SAP security policies (RBAC, encryption, masking).
  • Databricks' Unity Catalog ensures governance across SAP & non-SAP data.
  • Regulatory compliance (GDPR, CCPA) is enforced across the integrated data.

?? Example Use Case

  • A healthcare company secures patient data in SAP (BDC) and uses Databricks for AI-powered diagnostics while complying with HIPAA regulations.

2, Business Benefits of SAP Business Data Cloud + Databricks

? Seamless SAP + AI Integration: Unlocks SAP data for AI-driven decision-making. ? Business Process Optimization: Automates workflows with predictive intelligence. ? Enterprise-Grade Security: Ensures SAP data governance & compliance. ? Real-Time Data Insights: Provides AI-powered forecasting & real-time analytics. ? Cloud & Multi-Platform Support: Works across SAP BTP, AWS, Azure, GCP.

4?? Real-World Use Cases


Winning Formula -

SAP Business Data Cloud (BDC) + Databricks creates a powerful AI-driven data ecosystem, allowing businesses to: ? Integrate SAP & external data seamlessly ? Use AI/ML to generate predictive insights ? Optimize decision-making in real-time

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