In data development, tools are just the start. This talk explores how fostering a strong culture of collaboration and knowledge sharing empowers developer communities to thrive. Drawing on real-world insights from a large enterprise, we’ll show how to move beyond tech stacks to build a vibrant community, enhance practical knowledge, and drive effective data product development. Discover actionable strategies for nurturing a culture where developers connect, learn, and contribute responsibly.

Zielpublikum: Data Architects, Data Engineers, Data Scientists, Analytics Engineers, Data Product Owners, Engineering Managers, and anyone involved in building and supporting data development teams.
Voraussetzungen: No specific technical prerequisites. Participants should have an interest in fostering collaboration, improving knowledge sharing, and building effective developer communities within data-driven organizations.
Level: Advanced

Extended Abstract:
The success of data product development in a data mesh environment, or any complex data landscape, fundamentally relies on the people building it and the culture that connects them. This presentation, "Beyond Tools: Building a Collaborative Data Dev Culture," will focus on how a strong, practical developer community, built on collaboration and shared knowledge, is essential for effective data product creation and maintenance.

Drawing from practical experiences and a comprehensive developer survey within a large enterprise setting (Siemens Financial Services), this talk will illustrate the tangible benefits and challenges of cultivating such a culture. We will share insights into:

The Developer's Voice: How understanding the real needs of developers – for knowledge exchange, collaborative problem-solving, and peer support – directly shapes successful community initiatives.

Bridging the Knowledge Gap: Practical strategies for improving access to best practices, environment changes, and deployment procedures, directly addressing developer pain points.

Federated Documentation & Centralized Discovery: Our approach to managing technical knowledge in a distributed environment. This model ensures discoverability without dictating where teams document.

Building a Collaborative Ecosystem: How structured learning programs (workshops, hands-on meetings) and informal community gatherings (like "Bite-Sized Knowledge" sessions and developer lunches) actively foster peer support, continuous learning, and practical problem-solving. 

Empowering Contribution: Strategies to encourage active participation, where developers contribute to shared resources, templates, and guidelines, directly shaping their own working environment.

Attendees will leave with actionable strategies and a deeper understanding of how to move beyond a purely technical focus to cultivate a thriving, collaborative developer culture that drives innovation, enhances efficiency, and ensures long-term success in data product development.