Data integration in comparison: SAP Datasphere vs. Microsoft Fabric

Upcoming Event
Online
Christoph Kleine
Thomas Lausser
21
.
11
.
2024
/
Webinar

Who masters data integration best?

The effective use of data has become a key factor in our digitalized world. The right data integration forms the basis for all further processes.  

With this in mind, our experts will be comparing the two frontrunners SAP Datasphere and Microsoft Fabric in a direct comparison in the webinar on November 21, 2024 at 10 am. 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 focus of the webinar:

  • The importance of data integration: Why is this topic so crucial?  
  • Integration platforms: Brief presentation of SAP Datasphere and Microsoft Fabric including strengths and weaknesses as well as typical use cases.
  • Direct comparison: What are the differences between SAP and Microsoft in terms of data management, scalability, security and real-time analyses?
  • Implementation & costs: What costs can be expected in each case?
  • Decision-making aids: Which tool is best suited to 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 register now for the free webinar:

Speaker

Christoph Kleine
Christoph Kleine
Head of Business Unit Smart Data Services
celver AG

Christoph Kleine has been advising clients in the business intelligence environment for over 10 years. Today, as Head of Smart Data Services, he is responsible for analytics and smart data projects from conception to successful implementation.

Thomas Lausser
Thomas Lausser
Teamlead Data Engineering
celver AG

Thomas Laußer has been working in data engineering for more than 10 years and is now responsible for this area at celver. Together with his team, he is shaping the future of data platforms. He has accompanied the transition from traditional to modern data engineering and is therefore familiar with the needs and requirements of companies that are embarking on this path or have already arrived there and want to reach the next evolutionary stage.

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Register now