Spotlight: SAP vs. Microsoft #2
On-Demand Webinar
Data & Cloud Services
Who is best at data integration?
The effective use of data has become a key factor in our digital world. Proper data integration forms the foundation for all subsequent processes.
With this in mind, our experts compare the two frontrunners SAP Datasphere and Microsoft Fabric in a direct comparison in the webinar. They will shed light on how the challenges of data consolidation and usage are mastered and which platform is best suited depending on the requirements profile.
The webinar will focus on:
- The Importance of Data Integration: Why Is This Topic So Crucial?
- Integration Platforms: A brief overview of SAP Datasphere and Microsoft Fabric, including their strengths and weaknesses as well as typical use cases.
- Head-to-Head Comparison: What are the differences between SAP and Microsoft in terms of data management, scalability, security, and real-time analytics?
- Implementation & Costs: What kind of effort can be expected in each case?
- Decision-Making Guides: Which Tool Is Best Suited for Which Requirements?
Within 30 minutes, you will get a good overview of the core functions as well as the advantages and disadvantages of both solutions depending on your company's situation. Find out which tool best supports you in data-driven corporate management and watch the free webinar now:
Webinar Participants
Thomas Laußer has been working in data engineering for more than 10 years and is currently responsible for this area at celver AG. There, he and his team are shaping the future of data platforms. He has helped guide the transition from traditional to modern data engineering and therefore understands the needs and requirements of companies that are embarking on this journey or have already arrived there and want to reach the next stage of evolution.
Christoph Kleine has been advising our clients in the business intelligence field for over 10 years. With a focus on business development, he works with clients primarily in the areas of analytics and smart data, as well as on the effective orchestration of current technologies.
