Data mesh technology has been in existence for some time. In a nutshell, it’s an architecture for a data platform that enables users to access information without moving it to a data warehouse or a data lake, two centralized repositories for holding large amounts of data.
Numerous data mesh products, including those from well-known manufacturers like Databricks and Snowflake, are available. They weren’t all made equal, though. That is at least what Zhamak Dehghani, the founder of Nextdata, claims. Nextdata is a startup developing a “data-mesh-native” platform to construct and exchange what Dehghani calls “data products.”
One is that some providers of data mesh, notably Nextdata, are attracting venture capitalists’ attention. According to Dehghani, the $12 million in seed funding led by Greycroft and Acrew Capital that Nextdata announced today will be used to build up its tooling and increase recruiting across its product, engineering, and go-to-market teams.
According to Dehghani, she founded Nextdata to address the problems associated with data sharing as they relate to AI and machine learning.
Dehghani worked as the director of new technology at ThoughtWorks before founding Nextdata, where she promoted the idea of the data mesh to her enterprise clients.
Dehghani developed Nextdata OS, a data mesh system that enables people to create, distribute, discover, and consume data products for analytics. Her work at ThoughtWorks inspired it. Users can store data and metadata with ThoughtWorks in a single container called the data product container, which other users can manage or incorporate into apps, websites, and services.
Data governance policies are “embedded as code” in every Nextdata data product container. Dehghani claims that these restrictions are implemented from development to run time and at each stage of data product storage, access, or reading.
“Nextdata does for data what containers and web APIs do for software,” she continued. “The platform offers APIs to give organizations an open standard to access data products across technologies and trust boundaries to run analytical and machine-learning workloads ‘distributedly.” Nextdata APIs offer processing to data rather than requiring data consumers to replicate data for reprocessing, decreasing tedious work and data bloat.
In its early access program, Nextdata claims to have “thousands” of users and pilots with Fortune 100 firms. The startup’s team, which presently consists of six full-time employees and four contractors, needs to be expanded shortly.
There has never been a greater need for enterprises to reimagine their data systems to make it easier to share, connect, and discover company data for analytics and AI in a decentralized and scalable manner, according to Dehghani. According to the statement, a team of visionaries and problem-solvers is leading the campaign to unlock data for everyone.
[Source of Information: Techcrunch.com]
