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Join us for our monthly Data Mesh Learning Roundtable. This is an interactive roundtable that encourages participant interaction. We will divide the group into break-out sessions moderated by our four hosts:

Andrew Sharp, Principal Consultant/Data Governance, Oakland Group
Amy Raygada, Senior Data Product Manager, Swiss Marketplace
Karin Håkansson, Data Governance/Data Mesh Lead Consultant
Wannes Rosiers, Product Manager and Data Enthusiast, Conveyor

Join us for an engaging community event, a Round Table on Data Contracts, where knowledge meets experience in a collaborative space. Hosted by (our names) a, this gathering aims to foster a dynamic exchange of ideas, insights, and experiences surrounding the critical realm of data contracts.

In an era where data is a cornerstone of decision-making, understanding and managing data contracts is pivotal. The round table will encompass diverse perspectives on crafting, negotiating, and implementing data contracts, exploring legal, technical, and ethical dimensions. This event is about imparting knowledge and creating a platform for participants to share their real-world challenges and success stories.

We aim to cultivate a sense of community where professionals from various backgrounds can learn from one another. From business professionals ensuring compliance to data engineers developing robust frameworks, the round table promises to provide a comprehensive view of the intricacies involved in data contracts.

Key topics for discussion include:

Business Implications: An overview of business considerations and best practices in drafting data contracts.

Technical Challenges: Navigating the technical nuances of data contracts, including interoperability and integration.

This round table allows participants to enrich their understanding of data contracts, gather insights from industry experts, and build meaningful connections within the community. Whether a seasoned professional or a newcomer, your unique perspective is valued, making this event a true celebration of collaborative learning.

Engineering Leadership
Big Data
Data Management
Software Development
Software Engineering

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