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 ...

Grab engineering has recently shared its experience in the design of its backend data platform in a blog post.. GrabApp is an application that customers select and buy their daily needs from ...

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

View data as a shared asset. A modern data architecture needs to eliminate departmental data silos and give all stakeholders a complete view of the company: 360 degrees of customer insights and ...

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 ...