Data mesh is a new approach to designing data architectures by embracing organisational and data-centric constructs, such as data management and governance. The idea is that data should be easily accessible and interconnected across the entire business. In this talk, will cover: - The basics of building a streaming data mesh with Kafka & how Confluent enables this. - The four principles of the data mesh: domain-driven decentralisation, data as a product, self-service data platform, and federated governance. - The differences between working with event streams versus centralised approaches. - How to onboard data from existing systems into a mesh, modelling the communication within the mesh - How to deal with changes to your domain’s “public” data, give examples of global standards for governance - The importance of taking a product-centric view of data sources and the data sets they share.