When enhanced by the rich, self-describing nature of semantic knowledge graphs, data mesh and data fabric can greatly complement one another.

Data mesh is still in its infancy, and data personas and organizations are craving clarity and specificity. It is critical to be aware of the 'why' and 'what' and fully understand the role that ...

Data mesh empowers enterprise AI by enabling secure, flexible access to domain-specific data, which is crucial for unlocking real business value from AI.

Nextdata quietly emerged from stealth mode today, providing a glimpse of a company that intends to build technology to help organizations decentralize data at large scale. The idea of a data mesh ...

Metadata fell out of favor due to its association with static data catalogs - but don't overlook it. New approaches like data fabric and data mesh have promise. They won't be successful without an ...

Scania, the truck, bus, and industrial engine manufacturer, is developing sustainable transport solutions for its clients. These innovative services require huge amounts of high-quality data and to ...

Data mesh is a bottom-up approach that decentralizes data responsibility and centralized infrastructure, such as data warehouses. Data fabric is a top-down approach that integrates data across an ...

An underlying premise of data mesh is that business units should be able to control their own data and interact with one another by sharing data.

The complexity of data projects has also increased, with 5% of dbt users managing more than 5,000 models. To address the threat posed by that growing complexity, dbt Labs today launched a new paradigm ...

PEO EIS is working closely with DASA(DES) on the initial version of its UDRA, which aims to establish the Army’s enterprise mesh services.