
Sign up to save your podcasts
Or


As the data mesh paradigm gains adoption across enterprises, it’s hard to ignore the increasing focus on the architectural aspects of this approach, which often overshadows the crucial socio-organizational element. The problem is, it’s hard to implement the concept of data mesh if the technology and organizational aspects are not aligned. Business units need faster access to unified data and data teams want to simplify data architecture.
By Dremio (The Open Data Lakehouse Platform)As the data mesh paradigm gains adoption across enterprises, it’s hard to ignore the increasing focus on the architectural aspects of this approach, which often overshadows the crucial socio-organizational element. The problem is, it’s hard to implement the concept of data mesh if the technology and organizational aspects are not aligned. Business units need faster access to unified data and data teams want to simplify data architecture.