Keep your streams short! Or how to model event-sourced systems efficiently
In event-sourced systems, no data is lost. We record new facts after each business operation. That's a huge benefit but also a challenge. At some point, we realise that we have too many events in our streams. That causes a whole variety of issues: operational, performance, versioning, but also cognitive load and blurring the entire picture. In this talk, you'll learn how to deal with the temporal aspect of our system and why it's essential to keep your streams short. You'll learn strategies and techniques to model your domain into streams efficiently. Thanks to that, you'll learn to efficiently create and maintain your event-sourced system, avoiding common pitfalls.

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Ecommerce with Event Sourcing and DDD

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Basic Event Sourcing Design Principles with Unique Constraints as an Example Part 2
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Hands-On Power BI Tutorial 📊Beginner to Pro [Full Course] ⚡

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Enhancing Customer Experiences with EventStoreDB and AI in SteerCRM

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Software Teaming and AI: Thinking Together with AI - Woody Zuill & James Herr

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RL for Agents Workshop - Deep Dive on Training Agents with RL and Open Source

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Mistakes made adopting event sourcing (and how we recovered) - Nat Pryce - DDD Europe 2020

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How to increase your vocabulary: Live English Class

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Martin Kleppmann — Event Sourcing and Stream Processing at Scale

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Free Event: Power BI Beginner to Pro 2026 Edition - Full Hands-On Tutorial

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What is SonarQube | Introduction SonarQube | SonarQube Tutorial | SonarQube Basics | Intellipaat

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Demystifying event streams: Transforming events into tables with dbt

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Arrow Flight SQL in KurrentDB v26.1 Part 1 (Full Video) | Kurrent Konversations
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Mini Hackathon - Build a Power App! [Full Course]

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Politics Chat, June 11, 2026

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How to Start Coding | Programming for Beginners | Learn Coding | Intellipaat

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Unlock AI's Full Potential with Kurrent - QCon 2024

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Driving Innovation With Validation 4.0

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Clustered Event Sourcing and CQRS with Akka and Java - Hugh McKee

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