talk-data.com

In-person panel discussion in Berlin

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Join our subject matter experts in an insightful panel discussion on Data mesh and Culture: Engaging your organization in embracing change. In today’s fast-paced digital landscape, adopting a data mesh approach requires more than just a technical shift—it demands a cultural transformation. This session will delve into the challenges and opportunities of implementing data mesh, highlighting strategies for creating a culture that supports decentralized data ownership, cross-functional collaboration, and continuous learning. Whether you’re a data leader, IT professional, or organizational change agent, this discussion will provide you with actionable insights to drive successful cultural adoption in your data mesh journey. Don't miss this opportunity to learn how to align your organization’s culture with the future of data management, and continue the discussion afterward in our networking space with complimentary food and drinks

Panelists and host

• Prof. Dr. Arif Wider, Fellow Technology Consultant at ThoughtWorks & Professor at HTW Berlin
• Markus Schüler, Director of Data Strategy at mobile.de, an Adevinta company
• Maria Perchyk, Software & Data Engineer at Netlight
• Oliver Lorenz, Head Technology at mobile.de

Agenda 17:45 - 18:00: Check-in and welcome 18:00 – 19:30: Panel Discussion and Q&A 19:30 – 21:00: Get-together with food and drinks

Register in the webpage and save your spot

The data mesh is poised to replace data lakes and data warehouses as the dominant architectural pattern in data and analytics. By promoting the concept of domain-focused data products that go beyond file sharing, data mesh helps you deal with data quality at scale by establishing true data ownership. This approach is so new, however, that many misconceptions and a general lack of practical experience for implementing data mesh are widespread. With this report, you'll learn how to successfully overcome challenges in the adoption process. By drawing on their experience building large-scale data infrastructure, designing data architectures, and contributing to data strategies of large and successful corporations, authors Max Schultze and Arif Wider have identified the most common pain points along the data mesh journey. You'll examine the foundations of the data mesh paradigm and gain both technical and organizational insights. This report is ideal for companies just starting to work with data, for organizations already in the process of transforming their data infrastructure landscape, as well as for advanced companies working on federated governance setups for a sustainable data-driven future. This report covers: Data mesh principles and practical examples for getting started Typical challenges and solutions you'll encounter when implementing a data mesh Data mesh pillars including domain ownership, data as a product, and infrastructure as a platform How to move toward a decentralized data product and build a data infrastructure platform