Distributed Query Processing - Execute individual queries across many machines in a PlexQ grid for MPP, yet automatically balance workloads across the grid during peak periods Logical Servers - Group ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The fictional Voltron robot (from the animated science fiction show of ...

DGIST developed a new graph-based database partitioning method and its system implementation showed 4.2 times faster performance on average than Apacke Spark SQL DGIST developed a core technology that ...

OGSA-DAI (Open Grid Services Architecture Data Access and Integration) is a framework for building distributed data access and integration systems. Until recently, it lacked the built-in functionality ...

Query processing and optimisation are critical components of modern database systems, serving to translate high‐level declarative queries into efficient, low‐level machine instructions. At its core, ...

In a distributed database, the data systems are held in different physical locations but can be accessed by all computers on a system. Processing is also shared among the many nodes—a database ...

When the Big Data moniker is applied to a discussion, it’s often assumed that Hadoop is, or should be, involved. But perhaps that’s just doctrinaire. Hadoop, at its core, consists of HDFS (the Hadoop ...

Resource Description Framework (RDF) query processing and optimization underpin the efficient retrieval and manipulation of data within vast, interconnected datasets. At its core, these technologies ...

Facebook has released Presto -- a distributed SQL query engine optimized for running ad-hoc interactive queries on data sources up to petabytes in size -- to the open source community under the Apache ...