Databricks Fundamentals: Technical basics and practical workflows for data & AI

Webinar on demand

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.

In the DSAG Academy’s online session, our DSAG speakers will provide a concise overview of the most important concepts and components—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.

This online session is designed for beginners and anyone interested in data who wants to get started with Databricks. Take advantage of this opportunity to gain valuable insights and tips for your data and AI projects. Sound interesting?

Then check out the online session now: 

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Webinar contributors

Florian Stracke
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Florian Stracke
Team Lead Data Science
celver AG

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.

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