SAP & Databricks: What makes them a perfect match?
Webinar on demand
Data & Cloud Services
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Ideal combination for maximum data power
The integration of Databricks into the SAP Business Data Cloud revolutionizes data management. It combines SAP's expertise in business-critical processes with Databricks' powerful data engineering and AI capabilities to seamlessly merge data regardless of format or storage location.
Find out in the webinar onhow this integration harmonizes complex data landscapes, optimizes AI workloads and promotes data-driven innovation. Our experts will use concrete examples to show why Databricks, with its open architecture and real-time data processing, is ideal for modern data ecosystems.
The focus of the webinar:
- Seamless data integration:How Databricks enables SAP and third-party data to be merged regardless of format, storage location or source
- Powerful AI and ML capabilities:What tools the platform includes for machine learning and AI workloads within the SAP Business Data Cloud
- Scalable data engineering:How Databricks optimizes big data processing and supports real-time analytics for data-driven decisions
- Open architecture:The benefitsof Databricks' open and flexible platform for collaboration between applications and data platforms
- Driving innovation:How the combination of SAP's process expertise and Databrick's technology creates a powerful foundation for data-driven innovation and AI-powered business models
Take the opportunity and experience within 30 minutes how you can unleash the full potential of your data and take your AI strategy to the next level through the interaction of SAP and Databricks.
Sounds interesting? Then register now for the free webinar:
Webinar contributors
Julian Schütt has been advising our customers for over 15 years, from the conception to the implementation of smart data architectures. As head of the Data & Cloud Services business unit, he is involved in the use of innovative technologies, from agile cloud environments to the efficient use of artificial intelligence.
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Djauschan Fedaie has been working as a data scientist for over three years and supports data-driven projects from analysis to implementation. His focus is on generative AI - in particular RAG applications and agents for the automation of complex tasks. He has experience in forecasting, data engineering and data architecture and combines technical understanding with a clear focus on business value.
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