Data Mesh is the result of an inflection point, where the current architectures are in a state of crisis, due to the incapability of responding to the scale, complexity, and data aspirations of company’s business. Nowadays, building a data-oriented business is one of the top strategic goals of executives, so there are great expectations of data: companies want to provide the best customer experience based on data and personalization, reduce operational costs and time, empower employees to make better decisions through trends analysis and business intelligence (BI). Data Mesh arises as a decentralized paradigm that occurs at both technological and organizational level, with the purpose of solving the problems related to the loss of data nature, costs related the management of monolithic architectures and the significant pressure on data teams..