Dr. Simon Harrer
Co-Founder and CEO, Entropy Data
Co-Founder und CEO, Entropy Data
Gerolzhofen, Germany
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Dr. Simon Harrer is the Co-Founder and CEO of Entropy Data.
He is a software developer at heart who has since turned to the dark side — the world of data. He co-founded datamesh-architecture.com and translated Zhamak Dehghani's Data Mesh book into German. Currently, he is developing a SaaS product useful for all Data Mesh initiatives: the Data Mesh Manager.
Dr. Simon Harrer ist Co-Founder und CEO von Entropy Data. Er ist Softwareentwickler im Herzen, der sich mittlerweile der dunklen Seite, nämlich der Welt der Daten, zugewandt hat. Er hat datamesh-architecture.com mit ins Leben gerufen und das Data Mesh Buch von Zhamak Dehghani ins Deutsche übersetzt. Aktuell entwickelt er ein für alle Data Mesh Initiativen hilfreiches SaaS-Produkt, den Data Mesh Manager (datamesh-manager.com).
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Thesearena - Data Mesh ist tot es leben die Datenprodukte
Data Mesh hat die Diskussion rund um moderne Datenarchitekturen maßgeblich geprägt. Doch ist das Paradigma noch zeitgemäß – oder steht inzwischen das Datenprodukt im Zentrum nachhaltiger Datenstrategien? In der Thesenarena adebattieren die Teilnehmenden auf der Bühne entlang zugespitzter Thesen das Für und Wider von Datenprodukten: von organisatorischen Voraussetzungen über Governance-Fragen bis hin zu realem Business-Mehrwert. Das Publikum wird aktiv eingebunden und kann Perspektiven und Erfahrungen einzubringen.
Put your data under contract - mit der Data Contract CLI
In dieser Demo zeigen wir die Open-Source-Tools Data Contract CLI und Data Contract Editor für die Arbeit mit dem Open Data Contract Standard (ODCS). Live erstellen wir aus bestehenden Daten einen Data Contract mit "datacontract import", erweitern ihn im Data Contract Editor um Quality Checks und validieren die Daten mit "datacontract test". Mit "datacontract export" generieren wir HTML-Dokumentation und Visualisierungen, und mit "datacontract catalog" entsteht ein durchsuchbarer Data Contract Catalog. Alles Open Source und sofort einsetzbar.
Open Standards for Data Mesh
Open Standards are on the rise in the world of data mesh. And rightly so, as they provide a foundation to avoid vendor-lockin as well as drive innovation. We have a look at what standards exist, what they cover, where they are coming from, and where they are heading. And also where they compete. This includes standards for data contracts, data products, observability, semantics, and more.
After being in this session, you have a better understanding of the existing standard landscape, which standards are relevant to you and your organization now, and which standards to watch that become relevant in the future.
Federated Computational Governance with AI
The fourth pillar of Data Mesh, federated computational governance, is the hardest to implement as it must become easy to do the right thing and hard to do the wrong thing. Data governance is crucial for a successful data mesh implementation. Governance policies are written by governance people in prose, and often include texts from lawyers like the GDPR, privacy statements, license agreements, etc. We propose an approach using AI to implement federated computation governance by letting governance experts write policies in natural language, and AI to monitor their effectiveness against metadata. We show example use cases such as ensuring that fields are correctly marked as PII, coding guidelines are adhered to, and that when requesting access to data the purpose is verified. We present a partial implementation via the free self-hosted Community Edition of the Data Mesh Manager and OpenAI ChatGPT-4o. And we give an outlook on the future of data governance.
Data Governance mit Data Contracts bei "Die Mobiliar"
Data Contracts ermöglichen in einer dezentralen Datenarchitektur – etwa im Sinne eines Data Mesh – auch eine dezentrale, aber verlässliche Governance. In dieser Session zeigen wir, wie Die Mobiliar Data Contracts konkret einsetzt, um Vertrauen in Datenprodukte zu schaffen.
Wir stellen den offenen Industriestandard der Linux Foundation vor – den Open Data Contract Standard – und erläutern, wie sich damit Aspekte wie Ownership, Data Quality, Privacy und Terms of Use klar definieren, automatisiert absichern und kontinuierlich überwachen lassen. Und seid gewarnt: there will be YAML.
A Holistic Model of Data Contracts for Better Data Governance
Data contracts between data products are often viewed one-dimensionally as promises made by data providers to their consumers, e.g. by stating SLOs. However, in actual large-scale data landscapes the relations between data providers and consumers are more complex: First, consumers should also state their expectations towards the producers (which is already common practice with consumer-driven contracts in microservice architectures). Second, providers often have expectations as well, e.g. that consumers will adhere to relevant policies when sharing sensitive data with them. Third, consumers should be able to state promises about how they will handle the received data.
Unfortunately these other three dimensions of data contracts are often either not documented explicitly or are overlooked entirely, which increases the risk of data incidents. Also, because these dimensions have mostly been overlooked so far, current data mesh platforms lack the support to define, manage, and verify such complex data contracts. We present a new model of data contracts that incorporates the missing dimensions and thereby allows for data mesh platforms to support data governance in a more holistic way. To demonstrate this, we have implemented support for such complex data contracts in a popular data mesh platform and assess the potential impact of our new model with an industry case study.
TDWI München 2026 Sessionize Event
Domain-Driven Design Europe and Data Mesh Live 2026 Sessionize Event
Technology Day 2025 Sessionize Event
Data Mesh Belgium Meetup User group Sessionize Event
DDD Europe, EventCentric, Data Mesh Live - 2025 Sessionize Event
Dr. Simon Harrer
Co-Founder and CEO, Entropy Data
Gerolzhofen, Germany
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