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Databricks Data + AI World Tour Munich

location
Location

Eisbach Studios
Grasbrunner Straße 20
81677 München

calendar
Date
11/07/2023
audience
Target group

IT & business executives, data scientists, data engineers, data analysts, BI analysts, data architects

Kosten
Costs
Participation in the webinar is free of charge

Explore the latest developments, hear about real-world case studies, and discover best practices for transforming data and AI. From the Databricks Lakehouse platform to open-source technologies such as LLMs, Apache Spark™, Delta Lake, MLflow and more, this world tour has all the information you need to accelerate and improve your work.

Expand your network and meet with hundreds of local data and AI experts.

Exchange ideas with exhibitors, discover new solutions and trends on the exhibition floor, and learn from examples involving the applications of customers, communities and Databricks experts. You can also improve your skills with hands-on training and certifications.

Be part of our client ProSiebenSat.1 Media's presentation on "How we built a unified data lake on Databricks, migrating it from multiple legacy systems." Vijay Kumar Nagaraj will walk us through the journey of utilizing the latest Databricks features to construct a unified data lake, with a particular focus on the Unity Catalog and the challenges of migrating and unifying data from various on-premises systems.

From inspiring keynotes through practical demos to insightful sessions, the Data + AI World Tour Munich has something for you. Registration is free and we look forward to seeing you there.

More about the event

Become part of Generation AI and visit us on the Databricks Data + AI World Tour taking place in over 30 cities on 5 continents.

In a world being re-defined by AI, it's all about your ability to create, train, deploy and manage your own data models using your own data – to set you apart from the rest. We look forward to welcoming you in Munich to explore the latest developments concerning data, analytics and AI at Databricks Lakehouse.

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