The performance of domestic processors and databases cannot meet the requirements of real-time data processing and high-speed data query in aerospace industry. In order to make up for the lack of ...

Distributed data processing is a computer-networking method in which multiple computers across different ... SETI was one of the earliest distributed processing systems to receive widespread ...

The need for scalable and efficient stream analysis has led to the development of many open-source streaming data processing systems (SDPSs) with highly diverging capabilities and performance ...

Apache Flink, a distributed in-memory data processing framework project born out of Germany, this week graduated the Apache Incubator stage and became a Top-Level Project at the open source software ...

Employing Hadoop’s distributed file system (HDFS) as data storage, Hive inherits all of Hadoop’s fault tolerance, scalability, and adeptness with huge data sets.

The first term used to describe the distribution of multiple computers throughout an organization in contrast to a centralized system. The distributed processing and "distributed computing" terms ...

Flink is a runtime system that is not so different from MapReduce or Spark (more on those differences coming) but there is not a storage system component. In short, Flink pulls data from its source ...

ZUG, SWITZERLAND / ACCESSWIRE / August 3, 2023 / The GAIMIN infrastructure gateway for the mass adoption of Web3 games and blockchain technology, and SophiaVerse, a virtual world harmonizing human ...

Thank heaven for Hive, a data analysis and query front end for Hadoop that makes Hadoop data files look like SQL tables Apache Hive is a specialized execution front end for Hadoop. Hive lets you ...