Distributed query processing is a technique that allows you to execute queries across multiple databases or data sources that are physically or logically separated.

Query processing in a distributed system requires the transmission f data between computers in a network. The arrangement of data transmissions and local data processing is known as a distribution ...

In-network sensor query processing is a cross-layer design paradigm in which networked sensor nodes process data acquisitional queries in collaboration with one another. As power efficiency is still ...

Parallel processing can bring several benefits for BI queries, such as improved performance and efficiency, enhanced functionality and flexibility, and higher quality and reliability.

A. Schwarte, P. Haase, K. Hoose, R. Schenkel and M. Schmidt, “Fedx: A Federation Layer for Distributed Query Processing on Linked Open Data,” ESWC, 2011. has been cited by the following article: TITLE ...

Improve query performance 4.2 times in average compared with Apache Spark SQL which is widely used parallel query processing system in both academia and industry. Can have a huge impact on large ...