With interest in the open source Apache Spark framework for running Big Data applications in real time growing rapidly, IBM this week made it clear that the Apache Spark framework is now a ...

To satisfy the increasing demand for a unified platform for big data analytics and deep learning, Intel recently released BigDL. It’s an open source, distributed, deep learning framework for Apache ...

Microsoft is upping its commitment to the open-source Apache Spark big-data processing engine. At this week's Spark Summit in San Francisco, Microsoft officials will be talking up Microsoft's support ...

In this video, Beenish Zia from Intel presents: BigDL Open Source Machine Learning Framework for Apache Spark. BigDL is a distributed deep learning library for Apache Spark*. Using BigDL, you can ...

Databricks Inc., a commercial champion of the open source Apache Spark Big Data analytics project founded by the technology's creators, introduced a new free community edition of its Spark-based data ...

Alteryx and Databricks are collaborating to make Apache Hadoop and Spark accessible for everyday analysts. These companies will become the primary committers to SparkR, a subset of the overall Spark ...

The AMPLab this week announced the release of KeystoneML, a framework for building and deploying large-scale machine-learning pipelines within Apache Spark. While the software is still in alpha stage, ...

.NET for Apache Spark 1.0 provides high-performance .NET APIs to Apache Spark including Spark SQL, Spark Streaming, and MLlib Microsoft and the .NET Foundation have released version 1.0 of .NET for ...

One question I get asked a lot by my clients is: Should we go for Hadoop or Spark as our big data framework? Spark has overtaken Hadoop as the most active open source Big Data project. While they are ...