Streaming Workshop Frankfurt (Partner: Thinkport)

Streaming Workshop Frankfurt (Partner: Thinkport)

Register Here

December 12, 2019
15:30 - 20:00 CEST

BIG DATA becomes FAST DATA.

More companies are using distributed streaming platforms that enable not only publish-and-subscribe, but also the storage and process data. Companies across all industries are now relying on real-time data to personalize customer experiences or detect fraudulent behavior.

On December 12, Confluent, provider of a streaming platform based on Apache Kafka®, and Thinkport, technology consultants with a start-up mentality, invite you to Frankfufrt for a three-hour workshop to demonstrate different use cases of streaming technology in large- and midsize- companies. These include examples from Deutsche Bahn, AirBnB and more.

Please RSVP to reserve your seat, we only have limited spaces available!

Agenda:

15:30 - 16:00      Registration and Snacks

16:00 - 17:00      Real-time processing of large amounts of data: What is Streaming Platform? What is your Streaming Journey? How are companies using Apache Kafka and Confluent? - Confluent

17:00 - 17:45      Go and run your streaming app on Kubernetes! - Dominik Fries, Thinkport

17:45 - 18:30      Your Streaming Journey, more use cases and open discussion - all

18:30 - 21:00      Get together, dinner, interactive Q&A


Workshop Details:

Real-time processing of large amounts of data: a streaming platform as the central nervous system in the enterprise

  • Challenges and solutions for integrating, processing and storing large amounts of data in real time
  • Why both the tech giants from Silicon Valley and established, successful businesses (must) rely on streaming platforms
  • Use cases from the automotive and financial sector, retail, logistics companies and more
  • Apache Kafka as the de facto standard both for Global 2000 and in SMEs for future transformation projects

Sessions will be held in English per request. 


Location:

Thinkport
Hanauer Landstr. 161-173
60314 Frankfurt am Main

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