Databricks is a unified data analytics platform that provides tools for data engineering, data science, and machine learning. It is built on top of Apache Spark and offers a collaborative environment for teams to work with big data and AI.
View all tagsExplore how SAP Business Data Cloud (BDC) acts as the business-centric integration layer for enterprises looking to harmonize SAP and non-SAP data across platforms like Snowflake, Azure, GCP, AWS, and Databricks.
Federate SAP and non-SAP data with SAP Datasphere for seamless ML integration, eliminating replication and enhancing insights.
Train models on Databricks using live SAP data with FedML-Databricks, enabling secure integration and eliminating data duplication.
Data from Databricks Lakehouse can be harmonized with SAP and non-sap data via SAP Datasphere's unified data models for use with richer analytics and other use cases.
Architectural patterns for integrating SAP Business Data Cloud with SAP AI Core and Generative AI Hub. Covers AI-Enhanced Data Products, model training in Databricks and serving in AI Core, batch and real-time consumption patterns, and predictive insights.
Leverage SAP Databricks for AI and analytics, integrating SAP data with Databricks for real-time insights and simplified data access.
Transform enterprise data strategies with SAP BDC, unifying SAP and non-SAP data for scalable AI and analytics.
Unifying Access Across for SAP Business Data Cloud using SAP Cloud Identity Services: IAS for SSO (SAML/OIDC) and IPS for SCIM provisioning. Includes scenarios with/without Enterprise IdP, lifecycle, authorization mapping, and operations.