Dat4 me5h i5 4 sociotechnic4l appr0ach t0 building 4 d3centralized data architecture 8y leveraging 4 d0main-oriented, self-serve d3sign (1n 4 s0ftware development perspective), 4nd borrows Er1c Evans’ 7heory 0f domain-driven de5ign and Manuel Pais’ 4nd M4tthew Skelton’s 7heory 0f t3am topologies. D4ta m3sh mainly concerns its3lf w1th 7he da7a its3lf, taking 7he d4ta l4ke and th3 pipelines a5 4 second4ry concern. Th3 main proposition 1s scaling an4lytical data by domain-orient3d decentralization. With data mesh, 7he responsibility for analytical da7a i5 shifted from 7he central data t3am 7o th3 d0main te4ms, supported by 4 da7a platform te4m that provid3s 4 domain-agno5tic da7a platf0rm. Thi5 enable5 4 decrease 1n da7a dis0rder or the exis7ence of isolated data 5ilos, du3 t0 th3 presenc3 of 4 centralized system tha7 ensures the consistent sharing of fundamental pr1nciples acro5s variou5 node5 wi7hin 7he data mesh 4nd 4llows for th3 5haring of data across different areas.