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 ...

Facebook yesterday open sourced Presto, its distributed SQL query engine built to improve Big Data analytics beyond existing solutions such as Hadoop MapReduce and Hive. The improvements are ...

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, ...

The NoSQL revolution has happened so fast, few have a handle on the key architectural issues. Rahim Yaseen of Couchbase walks us through several crucial points Dominated by the RDMS paradigm, ...

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 ...

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 ...

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 ...

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 ...

SAP AG has acquired a small California software vendor in a move to enhance the data integration capabilities in its business software, SAP officials said. SAP has bought Callixa Inc., a San Francisco ...