For years, companies built large Data lakes to make data available for analytical workloads and Big Data applications. The goal was to remove data silos and harmonize all data assets a company has to offer. However, most companies failed in this and the data lake became quite frustrating for people working with and using it. Now, a new promise emerges from the enterprise architecture: the data mesh. The data mesh aims at simplification, accepting the distributed nature of data. And – it seems that architects have learned from the past errors and with this approach. In this talk, we will look at what it is and how it is going to solve existing issues
