SAP Datasphere Fundamentals: Technical Basics and First Steps in Data Modeling
How to get started with SAP Datasphere
The proper integration and provision of relevant data is the essential foundation for successful analytics and AI projects. SAP Datasphere meets these requirements for modern data management within the SAP Business Technology Platform—and thus plays a key role for all companies that want to future-proof their data strategy.
Our DSAG speakers will give a compact overview of the most important functions, concepts, and application scenarios in a free online session hosted by the DSAG Academy on March 12, 2026, at 11 a.m. – including a live demo of typical workflows in SAP Datasphere.
The online session will focus on:
- Positioning in the SAP ecosystem: Understand the role of SAP Datasphere and how it complements your data architecture.
- Key features & components: Get to know the most important building blocks—from Spaces and Connections to semantic modeling.
- Efficient data modeling: Create and publish simple data models for your projects.
- Seamless data integration: Utilize best practices for data provision and initial integration steps.
- Practical live demo: Experience typical workflows and gain new inspiration for your own use cases.
The online session is aimed at all beginners and SAP users who want to gain initial experience with SAP Datasphere. Take advantage of this opportunity to gain valuable insights and tips on how to optimize your data strategy. Sound interesting? Then register now via LinkedIn for the free online session offered by the DSAG Academy:
Speaker
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.
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.
