Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

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) ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

Apache Spark is a hugely popular execution framework for running data engineering and machine learning workloads. It powers the Databricks platform and is available in both on-premises and cloud-based ...

Editor’s Note: Vaibhav Nivargi is the founder and chief architect of ClearStory Data, a data analytics service provider. This week the fast-growing Apache Spark community is gathering in New York City ...

There is more to big data than Hadoop, but the trend is hard to imagine without it. Its distributed file system (HDFS) is helping businesses to store unstructured data in vast volumes at speed, on ...

Yahoo, model Apache Spark citizen and developer of CaffeOnSpark, which made it easier for developers building deep learning models in Caffe to scale with parallel processing, is open sourcing a new ...

Enterprise software development and open source big data analytics technologies have largely existed in separate worlds. This is especially true for developers in the Microsoft .NET ecosystem. The ...

What’s the difference between SPARK 2014 and Apache Spark? Actually, the answer is quite easy. SPARK 2014 is a programming environment based on the Ada programming language. Apache’s open-source SPARK ...

An open-source big data framework from the Apache Software Foundation. Spark is used to analyze huge amounts of real-time data in RAM in contrast to Hadoop (another Apache project), which continuously ...