Real-Time Berlin: Where Data gets Moving

17:30 – Welcome: Why real‑time data is becoming the foundation for AISteffen Hoellinger, Field CTO, Confluent17:40 – From Events to Live ML Features at Delivery HeroArsalan Uddin - Senior Data Engineer, Data & ML Platform, Delivery HeroMinji Park - Data Engineer, Data & ML Platform, Delivery HeroMinji & Arsalan will show how data flows from Postgres CDC and other event sources into Kafka, how it is consumed by Delivery Hero's Live Feature Store, and how these pipelines are managed by the Data & ML Platform team. 18:20 - Abstracting Kafka at Scale: Nakadi’s API-First Event Streaming Architecture at Zalando Chaitanya Waikar - Senior Software Engineer, ZalandoNakadi is Zalando’s API-first event streaming platform. Over the past decade, it has evolved to seamlessly swap underlying Kafka topics without user disruption. In this talk, discover "Timelines" - the mechanism enabling admins to divert publishing traffic to new storage while Nakadi automatically adjusts both producer and consumer flows behind the scenes. Short Break 19:10 – Ins and Outs of the Outbox Pattern​Gunnar Morling, Senior Principle Technologist, ConfluentIt’s time to take another look at the outbox pattern! In this session Gunnar will bring you up to speed on what the outbox pattern is, how to implement it, pros & cons, backfills & alternatives. 19:40 – Networking & Peer ExchangeContinue the conversation over food and drinks This event is for you, if you: Build or scale data‑driven products Modernize legacy or batch‑oriented data architectures Evaluate or run real‑time analytics, AI, or GenAI workloads Want experience‑based insights Seats are limited and attendance is by invitation. 👉 Request your spot at Real-Time Berlin now! Hosted by Confluent, an IBM CompanyThis text uses AI assistance alongside human review.