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This is an open community - if you want to present, host or contribute in other ways follow this link (http://cnfl.io/get-involved-mu) - first time speakers welcome!
This meetup is for your fellow event streaming enthusiasts!
The topics discussed at our events are all about event streaming, including Confluent Platform, Confluent Cloud, Apache Kafka®, Kafka Connect, streaming data pipelines, ksqlDB, Kafka Streams as well as stream processing, Security, Microservices and a lot more!!
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Head to http://cnfl.io/get-involved-mu if you have any questions, ideas, concerns or if you want to contribute in some way!
Apache Kafka®, Kafka, and associated open source project names are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided here or at any of our Meetups.
Upcoming events
1
Real-time flight data streaming, anomalies, predictions, and visualizations
Space shack, Akazienstrasse 3A 10823, Berlin, DEJoin us for a hands-on workshop by Olena Kutsenko on Wednesday, February 25th from 5:30pm hosted by SPACE SHACK Coworking!
📍Venue:
SPACE SHACK Coworking
Akazienstraße 3A, 10823 Berlin, Germany🗓 Agenda:
- 5:30pm – 6:00pm: Welcome, Food/Drinks & Networking
- 6:00pm - 8:30 pm: Workshop by Olena
📌 So that Olena has an idea of audience priorities, please fill in the pre-workshop form when you can (no personal info is collected)
💡 Speaker & Workshop Details:
Olena Kutsenko, Staff Developer Advocate, ConfluentHands-on workshop: real-time flight data streaming, anomalies, predictions, and visualizations
Workshop Overview
In this hands-on session, we'll build a real-time analytics pipeline using flight data and modern streaming tools — step by step, and without hand-waving.We'll start by streaming data into Apache Kafka using Confluent Cloud, process it with Apache Flink, and land it in Apache Iceberg using Tableflow. From there, we'll query the data with Trino and turn it into dashboards using Superset. Everything runs in a practical setup you can reproduce later, including Docker and cloud-managed services.
Along the way, we'll also look at anomaly detection and simple predictions using built-in functions, so you can see how real-time insights can be added without building custom ML pipelines or complex models.
This session is all about doing, not slides. You'll see how the pieces actually fit together, what decisions matter in practice (regions, credentials, formats), and how to go from streaming data to analytics in a way that scales.If you're curious about real-time analytics, Kafka + Flink in the cloud, or how streaming, analytics, and lightweight predictive use cases come together in the same pipeline, this workshop will give you a clear, working mental model — and code you can take home.
No prior experience with Kafka, Flink, or Iceberg required! Just bring your curiosity and a laptop!Technical Prerequisites:
To make sure you can get hands on during this workshop, please make sure the following are installed on your system (Make sure your bring your laptops!)1. GitHub Account
- Zero Install (Recommended): Use GitHub Codespaces or open in Dev Container - everything pre-installed!
2. Local Setup: Install the tools below on your machine (takes ~10 minutes)
- VSCode with Confluent Extension: For accessing Confluent Cloud resources.
- Confluent CLI: To interact with Kafka clusters and topics.
- Install DuckDB: For querying Tableflow Iceberg tables.
3. Correctly setting up your Confluent Cloud account
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This step is optional, as we will go through how to set up Confluent Cloud during the event. However, if you want to get ahead, make sure you sign up, as so, to make sure you don't have to input your Credit Card:
Use the code 'CONFLUENTDEV1' when you reach the payment methods window after signing up for Confluent Cloud via this link.
[More info about the workshop can be found here](More detail about the workshop, including detailed agenda)***
DISCLAIMER
We don't cater to attendees under the age of 18.
If you want to host or speak at a meetup, please email community@confluent.io24 attendees
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