Data Mesh: It’s Not About Technology, It’s About People – Arif Wider, HTW Berlin

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Session Outline

Data Mesh has the potential to supersede the Data Lake as the dominant architectural pattern in data and analytics. Importantly, Data Mesh mainly introduces a new organizational perspective and is independent of specific technologies. Its key idea is to apply domain-driven design and product thinking to the challenges in the data and analytics space. Comparable to the introduction of a DevOps culture, establishing a Data Mesh culture is about connecting people, creating empathy, and about creating a structure of federated responsibilities. This way, generating business value from data can be scaled sustainably. Learn how to overcome challenges along the this journey by focusing on the right interactions between those that create value – the people.

Key Takeaways

  • Data Mesh is a solution for organisational scaling, not for scaling in terms of amounts of data
  • Most pain points in large data landscapes stem from interaction patterns and responsibility structures that create the wrong incentives
  • Technology should support and enable the right responsibility structure and help people to do the right thing

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