SAP & Databricks: What Makes Them a Perfect Match?
On-Demand Webinar
Data & Cloud Services
The Perfect Combination for Maximum Data Power
The integration of Databricks into the SAP Business Data Cloud is revolutionizing data management. It combines SAP's expertise in business-critical processes with Databricks' powerful data engineering and AI capabilities to seamlessly bring data together, regardless of format or 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 webinar will focus on:
- Seamless Data Integration:How Databricks Enables the Consolidation of SAP and Third-Party Data Regardless of Format, Location, or Source
- Powerful AI and ML Capabilities:What Tools the Platform Offers for Machine Learning and AI Workloads Within the SAP Business Data Cloud
- Scalable Data Engineering:How Databricks Optimizes the Processing of Large Data Sets and Supports Real-Time Analytics for Data-Driven Decisions
- Open Architecture: The Benefits of Databricks’ Open and Flexible Platform for Collaboration Between Applications and Data Platforms
- Fostering Innovation:How the Combination of SAP's Process Expertise and Databricks Technology Creates a Powerful Foundation for Data-Driven Innovations and AI-Powered Business Models
Take this opportunity to see, in just 30 minutes, how the integration of SAP and Databricks can help you unlock the full potential of your data and take your AI strategy to the next level.
Sounds interesting? Then register now for the free webinar:
Webinar Participants
Julian Schütt has been advising our clients for over 15 years on everything from the design to the implementation of smart data architectures. As head of the Data & Cloud Services business unit, he focuses on the use of innovative technologies, ranging from agile cloud environments to the efficient use of artificial intelligence.
.avif)
Djauschan Fedaie has been working as a data scientist for over three years and oversees data-driven projects from analysis through implementation. His focus is on generative AI—particularly RAG applications and agents for automating complex tasks. He brings experience in forecasting, data engineering, and data architecture, and combines technical expertise with a clear focus on business value.
