What we’re about
Join our community dedicated to data streaming technologies. Whether you're a data engineer, a developer, a data scientist, an architect, or intrigued by the power of real-time data processing, this group is your gateway to diving deep into the world of stream processing. We focus on practical knowledge, sharing experiences, and exploring the possibilities and challenges of handling streaming data across all industries (finance, logistics, e-commerce, social media, gaming, trading, and more).
We offer a platform for seasoned experts and newcomers to contribute, learn, and network through in-person meetups. We will hold our sessions throughout Europe, with a focus on London.
Upcoming events
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Data Engineers London: Real Time Data - January 2026
The Information Lab, 25 Watling St, London EC4M 9BR, United Kingdom, London, GBIMPORTANT: PLEASE RSVP @ https://www.meetup.com/data-engineers-london/events/312450363/
Details
6pm: Doors Open
6:30pm: Talks Start
🗣️The Speakers🗣️
Load-In to Lights-Out: Data Engineering the World's Biggest Tours and Live Events
Sam Malcolm, Head of Architecture & Engineering at Centrus (Sam's Linkedin)
Sam’s session dives into lessons from large-scale live event data systems—handling over 10 billion data points per second for global tours like Beyoncé, Coldplay, and Glastonbury. He connects the extreme demands of real-time analytics and high-performance networking to modern cloud data practices, showing how the same principles of speed, resilience, and precision apply when designing reliable, scalable data platforms today.
Should I Stream or Should I Join: From Regular to Delta Joins in Apache Flink
Nicoleta Lazar, Senior Data Engineer at Fresha & Anton Borisov, Principal Engineer at Fresha (Niloceta's LinkedIn , Anton's LinkedIn)
Joins in the streaming world are where the fun stops and the tradeoffs start. State that grows forever, latency that spikes unpredictably, watermarks that never quite behave, every Flink developer has war stories about this.
In this session, Anton Borisov and Nicoleta Lazar break down the join landscape in Apache Flink:
→ Regular joins and the state explosion problem
→ Interval joins: when they work, when they don't
→ Temporal joins and the versioned table dance
→ Lookup joins: the escape hatch and its hidden costs
→ Delta joins: the new kid and how Fluss enables them, and why it matters
Talks finish by 8pm and there will be a break between the talks. Afterwards, we may head to a pub to continue chatting.
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If you are interested in speaking at or hosting a meetup, please reach out to community@confluent.io1 attendee
Past events
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