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.

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 ...

Today, Samsung Next, the venture capital arm of Samsung Electronics, announced it is making a strategic investment in Seattle-based Expanso, a startup looking to power distributed data processing ...

If you haven’t heard of Flink until now, get ready for the deluge. As one of a stream of Apache incubator-to-top-level projects turned commercial effort, the data processing engine’s promise is to ...

What does distributed processing actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

Data today is too distributed and too large to move it to where the processing is performed. Now, businesses must find ways to move the processing close to the data—and the closer, the better.

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 ...

Even when designing a Minimum Viable Architecture (MVA), developers must consider resource location, especially when mobile apps are part of a distributed system. Distributing the data and ...