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 ...

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 ...

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 ...

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 ...

Spatial data processing and query algorithms underpin a critical component of modern geospatial analysis, enabling efficient handling and interrogation of vast and complex datasets. Contemporary ...

Suppose you want to run regular statistical analyses on your Web site’s traffic log data — several hundred terabytes, updated weekly. (Don’t laugh. This is not unheard of for popular Web sites.) ...

Data is at the heart of artificial intelligence, but it’s also emerging as one of its biggest bottlenecks. Without sufficient quantities of good, clean data to feed into models, companies simply can’t ...

Integrating distributed, in-memory computing with distributed caching can easily extend LINQ semantics to create important new capabilities for real-time analytics on fast-changing data. In the age of ...