London Real-Time Data Meetup

Join us for an Apache Kafka® x Apache Flink® meetup on October 23rd from 6:00pm at i-view London Wellington House hosted by meshIQ, and supported by Dremio and Fresha!

📍Venue:
i-view London Wellington House
125-130 Strand
London, ENG WC2R 0AP

Based on the 1st floor, access is either via the stairs or a lift. Concierge on the ground floor will direct guests to our floor.

The entrance to our premises at Wellington House is located only 30 meters from Waterloo Bridge, perfectly situated on the Strand above the Tesco and Pret stores on the corner overlooking Aldwych. Entrance between Pret and Ted's Grooming.

🗓 Agenda:

• 6:00pm – 6:30pm: Food/Drinks and Networking
• 6:30pm - 7:00pm: Scott Corrigan, VP Technology Services, meshIQ
• 7:00pm - 7:30pm: Anton Borisov, Principal Data Engineer, Fresha
• 7:30pm - 8:00pm: Will Martin, Will Martin, PhD / EMEA Evangelist, Dremio
• 8:15pm - 9:00pm: Q&A and Networking

💡Speaker One:
Scott Corrigan, VP Technology Services, meshIQ

Title of Talk:
Message Flow Tracking for Kafka and other Messaging / Streaming Platforms

Abstract:
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.

Bio:
Scott manages meshIQ’s technology related activities in the field, including sales engineering and services delivery. In his role, he leads a worldwide team that supports customers, sales and partners. With over 20 years of experience in the IT industry, Scott has architected software solutions and managed deployments to enable a large number of corporate customers to succeed in their business objectives.

💡Speaker Two:
Anton Borisov, Principal Data Engineer, Fresha

Title of Talk:
Delta Force: What the Fuss with Fluss in Flink 2.x

Abstract:
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.

Bio:
Anton Borisov architects real-time data platforms at the edge of what's possible with Flink, Kafka, and emerging open-source technologies. At Fresha, he led mission-critical projects from zero-downtime Postgres migrations to streaming architectures powering real-time customer analytics. A recognized voice in the data streaming community, Anton writes technical deep-dives that shape how engineers approach Flink, Iceberg, Paimon, and StarRocks, bridging research, open-source innovation, and production reality.

💡Speaker Three:
Will Martin, Will Martin, PhD / EMEA Evangelist, Dremio

Title of Talk:
From Stream to Table: Building Kafka-to-Iceberg Pipelines

Abstract:
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.

Bio:
Will Martin is an Evangelist at Dremio with experience as a data engineer, academic, technology consultant, and software developer. His career includes roles at CERN, BMT, Deloitte, and Tamr. He has spent 15+ years collaborating with companies and organisations across EMEA and APAC, working to understand their unique problems and to deliver targeted, technical solutions. Starting with a background of statistical analysis in particle physics, his professional journey has spanned multiple industries, including banking, shipping logistics, entertainment media, healthcare, defence, and customer 360.

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If you are interested in hosting/speaking at a meetup, please email community@confluent.io