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Join us at our first event of the year at The Information Lab on the historic Watling Street in the City of London 🙌 We will be kicking off 2026 by delving into the topic of real-time data with our speakers - Sam, Nicoleta & Anton. We are running this event in collaboration with Confluent.

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.

You can sign up by subscribing to this event

🚨IMPORTANT: Please bring a valid form of ID.

See you all on the 22nd January 🤩

Happy Networking 🍻

Checkout Meetup Groups run by Confluent:

• https://www.meetup.com/london-real-time-data-meetup/
• https://www.meetup.com/data-streaming-europe/

By attending this event, you agree to abide by our rules of conduct:

• Respect others' opinions.
• Keep it appropriate - no harassment of any sort.
• If you see something or have a complaint, please reach out to one of the organisers or email [email protected].

IMPORTANT: 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.

*** If you are interested in speaking at or hosting a meetup, please reach out to [email protected]

IMPORTANT: 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.

*** If you are interested in speaking at or hosting a meetup, please reach out to [email protected]

While Kafka excels at streaming data, the real challenge lies in making that data analytically useful without sacrificing consistency or performance. This talk explores why Apache Iceberg has emerged as the ideal streaming destination, offering ACID transactions, schema evolution, and time travel capabilities that traditional data lakes can't match. Learn about some foundational tools that enable streaming pipelines and why they all converge on this next-generation table format built for flexibility and scalability.

The next generation of streaming isn't about faster pipelines, but about smarter connections. DeltaJoin, a new operator in Apache Flink, reimagines stream joins by moving from brute-force state to change-driven computation. Paired with Fluss, Flink's purpose-built storage layer, it enables systems that are real-time, scalable, and cost-efficient. Anton will show how DeltaJoin and Fluss shift streaming architecture from ephemeral flows to durable, queryable state that bridges real-time processing with lakehouse patterns. Drawing on production experience, he'll demonstrate how these innovations reduce join costs, simplify architectures, and unlock new possibilities for real-time analytics. Attendees will leave with a vision of Flink 2.x as the backbone for event-driven systems and modern data platforms.

In this session, see how meshIQ, a comprehensive management and observability platform for messaging and event streaming technologies like Kafka, RabbitMQ and IBM MQ, can be used to track application message flows, help identify bottlenecks and locate "missing" messages.