A data mesh is a de-centralized data architecture that organizes data through the business selected domains and must be full orchestrated with the organization’s analytical data architectural. The architect mainly aimed the multi-level data governances (Federated Data Governances) that’s absolutely correct in the large-scale organization. Data mesh treated information as a product (notice please! I am experienced more than 30 years in data technology, I truly believed to this concept, so I was selected “NIA Information Production Services (www.NIAIPS.com)” as a name of my business. Mapping the distribution of the enterprise domain’s ownership, is Critical Success Factor (CSF) in this architecture, introduced by Zamak Dehghani, a brilliant scientist in data technology. This architect might be seriously Considered for analytical use case, which is composed around the domains. The domains administrators who are in charge of maintaining their data sources, are responsible for satisfying data requested from the other domains by providing real-time, trusted, and qualified data, these responsibilities might be extended to the other public and authorized API. At the final its good to know Apache Kafka plays a crucial role in a cloud-native data mesh architecture to map different point of data sources to different points of target sources.