Decentralized data processing is a technology that allows for data processing and analysis to occur without relying on a central data authority.
Federated learning is a double-edged sword. It's designed to ensure data privacy, but unfortunately, it opens the door for adversaries to exploit the system by using poisoned data.
Federated data services are an indispensable component of the data systems market, due to a recent demand for decentralized data storage and computation.
Should you put a data mesh in place? We discuss benefit and drawbacks, as well as terminology and when it makes sense to invest in that technology.
