Discover how the Apache Spark streaming analytics engine can make sense of your big data.

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 announced.

Amazon Athena now supports the open-source distributed processing system Apache Spark to run fast analytics workloads. Data analysts and engineers can use Jupyter Notebook in Athena to perform ...

Apache Spark is best known as the in-memory replacement for MapReduce, the disk-based computational engine at the heart of early Hadoop clusters. That Spark kicked MapReduce out of the Hadoop nest was ...

The Apache Spark open-source in-memory computing framework is the focus of a number of new initiatives just unveiled by Hortonworks.

Cloudera on how the execution engine Apache Spark broadens what companies can do with the big data framework Hadoop.

1. Complex Performance Parameters Originally created as an in-memory replacement for MapReduce, Apache Spark delivered huge performance increases for customers using Apache Hadoop to process large ...

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 ...

Apache Spark is an open source data processing engine built for speed, ease of use and sophisticated analytics. Spark is designed to perform both batch processing and new workloads like streaming ...

In this fourth installment of Apache Spark article series, author Srini Penchikala discusses machine learning concept & Spark MLlib library for running predictive analytics using a sample application.