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 ...

Apache Spark, the widely used open source cluster computing framework featuring a general processing engine for Big Data analytics, has reached version 2.0, the Apache Software Foundation (ASF) ...

Hadoop software and services firm Hortonworks says the plans it outlined today for Apache Spark are designed to make the in-memory engine a better candidate for enterprise use. The company is focusing ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Apache Spark is an execution engine that broadens the type of computing workloads Hadoop can handle, while also tuning the performance of the big data framework. Hadoop specialist Cloudera recently ...

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 ...

The volume of data being generated by e-commerce and online retail systems, mobile applications, social media and Internet of Things networks continues to explode. So it's no surprise the global ...

Apache Spark, the extremely popular data analytics execution engine, was initially released in 2012. It wasn’t until 2015 that Spark really saw an uptick in support, but by November 2015, Spark saw 50 ...

In a simple batch processing test, Google Cloud Dataflow beat Apache Spark by a factor of two or more, depending on cluster size On Tuesday, my company, Mammoth Data, released benchmarks on Google ...

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