First conceived by Zhamak Dehghani in 2019, a data mesh enables distributed groups of teams to access and work with data within the confines of a domain-driven architecture, a self-service platform, ...

Rao argued that a data mesh and the Databricks Lakehouse are complementary paradigms which—when implemented correctly—can create value from data at scale. Jon Osborn, field CTO at Ascend.io , added ...

Databricks today launched what it calls its Lakehouse Federation feature at its Data + AI Summit.Using this new capability, enterprises can bring together their various siloed data systems and ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

This data mesh architecture will make it quick and easy for data products to build on each other, the company said. Instead of business logic being centralized, teams will be able to make their ...

For one, some data mesh vendors are getting VC attention — including (but not limited to) Nextdata. Nextdata today announced that it raised $12 million in a seed investment led by Greycroft and ...

Collectively, these offerings are part of an effort to unify data science and data engineering and reduce friction by creating a federated data mesh, Databricks CEO Ali Ghodsi told VentureBeat.

Databricks today launched what it calls its Lakehouse Federation feature at its Data + AI Summit. Using this new capability, enterprises can bring together their various siloed data systems and ...

Databricks today launched what it calls its Lakehouse Federation feature at its Data + AI Summit. Using this new capability, enterprises can bring together their various siloed data systems and ...