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In this video from the European R Users Meeting, Henrik Bengtsson from the University of California San Francisco presents: A Future for R: Parallel and Distributed Processing in R for Everyone. The ...

The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...

ScaleOut Software, a leading provider of in-memory data grid software, announced a new query capability called “computational query” that combines Microsoft’s LINQ query with the company’s ...

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 ...

Database vendors are rolling out frameworks for accelerating analytics on streaming data, including attempts to address growing pains associated with the scaling Postgres-based analytics. For example, ...

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 ...

Processing ads information and billions of events at a microsecond scale requires distributed systems that are scalable, ...