Databricks Fundamentals: Technical basics and practical workflows for data & AI
Easy start with Databricks
The efficient processing and analysis of large amounts of data determines the performance of modern analytics and AI applications. In this context, Databricks, as a leading data and AI platform, offers a central solution for collaborative data processing.
Our DSAG speakers will provide a concise overview of the most important concepts and components in a free online session hosted by the DSAG Academy on April 14, 2026, at 11 a.m. – including a live demo of typical use cases in Databricks.
The focus of the session:
- Architecture & Core Principles: Understand how Databricks is structured and what advantages the platform offers.
- Key components: Learn about and classify workspaces, notebooks, and Delta Lake.
- Data processing& analysis: Perform simple processes in Databricks—from data integration to evaluation.
- Typical use cases: Discover how Databricks is used for data engineering, data science , and machine learning.
- Hands-on live demo: See how data can be processed and analyzed in Databricks.
The online session is aimed at all beginners and those interested in data who want to take their first steps with Databricks. Take advantage of this opportunity and gain valuable insights and tips for your data and AI projects. 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.
Florian helped build up the smart data division at celver AG from the very beginning, focusing in particular on cloud, data science, and AI. As team leader for data science, he is responsible for projects related to the development of modern, cloud-based data platforms and the development of machine learning and AI solutions. His focus is on implementing scalable architectures and data-driven applications that create measurable added value for customers.
