Dehghani was the director of next tech incubation at Thoughtworks North America when originally conceived her ideas about the data mesh. The core ideas revolve around the knowledge that top-down ...

In one corner we have, Data Fabric, something Gartner calls the Future of Data Management. Thoughtworks, on the other, contends that Data Mesh is key to moving beyond a monolithic data lake.

Dehghani spearheaded the data mesh movement while working at the consulting firm Thoughtworks North America, which she left last year to create her stealth startup. In January, Dehghani announced that ...

Credit: Thoughtworks To centralize or distribute data management? That question has been on the front burner ever since departmental minicomputers invaded the enterprise, followed even more ...

Centralizing all data in one place is still fraught with challenges -- now data mesh is turning decentralization into an advantage.

The introduction and socialization of data mesh has caused practitioners, business technology executives and technologists to pause and ask some probing questions about the organization of their ...

Data mesh is an idea that, depending on who you speak with, was originated by Mark Beyer at Gartner or Zhamak Dehghani at Thoughtworks.

The Data Mesh Learning community was founded in February 2021 to bring practitioners together to solve the challenges of working with data on Kubernetes.

This year, you won’t be able to escape the data mesh, one of the most disruptive trends currently operating in the data and analytics world.

Data mesh enables a decentralized approach to data management, greatly boosting the productivity and insight gained from your data store.

Virtualization struggles with running queries across diverse data sources. The mesh approach, however, may be in the right place at the right time.

Zhamak Dehghani, Tareq Abedrabbo and Jacek Laskowski discuss the current challenges for building Modern Data Pipelines and applying Data Mesh in the real world, what the future looks like, and tools.