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Description

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Author contributions Mahmoud Hussein Hadwan (Conceptualization [equal], Data curation [equal], Formal analysis [equal], Funding acquisition [equal], Investigation [equal], Methodology [equal], Project administration [equal], Resources [equal], Software [equal], Supervision [equal], Validation [equal], Visualization [equal], Writingoriginal draft [equal], and Writingreview & editing [equal]), Abbas Ali Mohammed (Data curation [equal], Investigation [equal], Methodology [equal], Software [equal], and Writingreview & editing [equal]), Saeed Najavand (Data curation [equal], Project administration [equal], Resources [equal], Software [equal], Supervision [equal], Investigation [equal], Methodology [equal], and Writingreview & editing [equal]), Roaa Altaee (Investigation [equal], Methodology [equal], Validation [equal], and Writingreview & editing [equal]), and Asad Hadwan (Data curation [equal], Formal analysis [equal], Investigation [equal], Methodology [equal], Validation [equal], and Writingreview & editing [equal]) Conflicts of interest None declared

As noted in the previous article, the data mesh design pattern requires: Data teams to be purpose-built around the data products they want to create Disaggregation of data product decisions to departments increasing flexibility The trade-off is that this approach increases personnel costs while increasing data product creation value