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Past Events

Gain some knowledge and check out our past webinars, events and recommendations!
June 2024
Open South Code 2024

OpenSouthCode 2024

Join us at the OpenSouthCode 2024 on June 21 - 22 in Málaga!

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June 2024
CrateDB European Tour Brussels

CrateDB European Tour Brussels

The CrateDB European City Tour is a series of local technical events focused on solving a complex data use case through several hands-on activities, in a fun and interactive way.

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May 2024
CrateDB European Tour Paris

CrateDB European Tour Paris

The CrateDB European City Tour is a series of local technical events focused on solving a complex data use case through several hands-on activities, in a fun and interactive way.

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May 2024
 Digital Twins & Gen AI on Azure

Digital Twins & Gen AI on Azure

Explore how TGW, a global leader in logistics automation, digitally transformed warehouse operations using Azure.

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April 2024
Data Innovation Summit 2024

Data Innovation Summit 2024

Join us at the Data Innovation Summit on April 24-25. We are participating in person in KistaMässan, Stockholm, and online.

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April 2024
Google Cloud Next '24

Google Cloud Next' 24

CrateDB is proud to be among the startups selected to be present at Google Cloud Next '24.

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March 2024
How to Build AI-driven Knowledge Assistants

How to Build AI-driven Knowledge Assistants with a Vector Store, LLMs and RAG Pipelines

Join our upcoming webinar as we explore the dynamic field of Artificial Intelligence. Discover how you can leverage a vector store using native SQL, such as CrateDB, to create a knowledge assistant powered by Generative AI.

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March 2024
CrateDB European Tour Amsterdam

CrateDB European Tour Amsterdam

The CrateDB European City Tour is a series of local technical events focused on solving a complex data use case through several hands-on activities, in a fun and interactive way.

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February 2024

How to Get the Most Out of Your Time Series Data

In this webinar, we'll delve into the dynamic world of time series data analysis. Join us as we explore effective solutions to common challenges encountered when working with time series data.

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