The Spark streaming analytics engine is one of the most popular open source tools for weaving big data into modern applications architectures with over 800 contributors from 200 organizations. It ...

Despite challenges including a new location and a nasty Nor'easter that put a crimp on travel, Spark Summit East managed to draw more than 1,500 attendees to its February 7-9 run at the John B. Hynes ...

DataStax says the latest version of its Apache Cassandra NoSQL database puts the focus on analytics, offering for the first time in-memory processing via the Apache Spark open-source engine. The use ...

The same team that created GemFire builds on Spark in a new open source database that can analyze OLTP and OLAP workloads side-by-side The team behind Pivotal’s GemFire in-memory transactional data ...

Originally created at U.C. Berkeley’s AMPLab in 2009, Apache Spark is a “lightning-fast unified analytics engine” designed for large-scale data processing. It works with cluster computing platforms ...

IBM today announced support for the open source Apache Spark project, giving another boost to this increasingly popular in-memory data processing framework. Spark both complements and — in some cases ...

Reactive programming company Typesafe today released a survey that confirms the high adoption rate of Apache Spark, an open source Big Data processing framework that improves traditional Hadoop-based ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Microsoft today announced that it is making a serious commitment to the open source Apache Spark cluster computing framework. After dipping its toes into the Spark ecosystem last year, the company ...

For example, IBM reduced the code base of DataWorks –the company's popular data preparation and data refinement service –by over 87 percent, from 40 million lines of code to 5 million lines of code, ...

Big data adoption has been growing by leaps and bounds over the past few years, which has necessitated new technologies to analyze that data holistically. Individual big data solutions provide their ...