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In the past few decades, the way we handle data has changed a lot, moving from a centralized model to a distributed and scalable approach. One of the new ideas that came out of this is called Data Mesh. This new implementation pattern requires managing both transactional and analytical workloads. This article explores the differences between these two types of workloads within a distributed and scalable approach to data management.