The construction of a distributed heterogeneous data platform for power grid dispatching faces challenges of diversity, large scale, and high performance. However, existing data platform design ...

Architecture Design of Distributed Medical Big Data Platform Based on Spark Abstract: An Apache Spark based distributed computing and storage system designed for large-scale health data. The system ...

Cloud platforms offer tools and infrastructure for supporting distributed data architecture, allowing businesses to spin up instances quickly and scale without the overhead of on-premise ...

Designed in collaboration with NVIDIA and being deployed at CoreWeave, the new infrastructure unleashes VAST's parallel data services architecture on Tuesday, 02 January 2024 12:17 GMT عربي ...

In this episode of DEMO, host Keith Shaw is joined by Matt Fuller, Co-Founder of Starburst, to explore how their innovative data platform unifies access to distributed data—whether it's in the cloud, ...

For years, cloud computing was synonymous with centralization. That era is over. Enter: the distributed cloud.

A 2018 Gartner Inc. report predicted that by 2025, 75% of all enterprise-generated data would be created and processed at the edge, emphasizing the need for distributed data platforms in managing ...

Cellular Radio Access Networks (RANs) are rapidly evolving towards 6G, driven by the need to reduce costs and introduce new revenue streams for operators and enterprises. In this context, AI emerges ...

When discussing distributed or decentralised video architecture, it’s common to conflate it with traditional peer-to-peer (P2P) networks. However, distributed video solutions go beyond the ...

Streams for a headless data architecture. Apache Kafka, an open source distributed event-driven streaming platform, has had a headless data model since day one.Kafka provides the API, the data ...

Finding a way to unify this disparate data is essential. In doing so, organizations must balance the explosive growth of enterprise data; the need for an on-premises, cloud-like consumption model ...