In this article, third installment of Apache Spark series, author discusses Apache Spark Streaming framework for processing real-time streaming data using a log analytics sample application.

StreamAnalytix is an open source-based, multi-engine platform for development of real-time stream processing and machine learning applications. It provides a drag-and-drop user interface which ...

Hadoop needs fast and easy-to-use stream processing, and Flink provides that -- but it'll compete with Spark and Storm Apache Flink, a potential contender for Apache Spark’s big-data processing ...

Apache Spark is a popular data processing framework that replaced MapReduce as the core engine inside of Apache Hadoop. The open source project includes libraries for a variety of big data use cases, ...

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 ...

Just when you thought you had finally wrapped your brain around the importance of Apache Spark for event processing, there’s a new real-time player to consider. Data Artisans, a startup founded ...

We’re close to the next release of Apache Flink, the stream processing engine developed by the Apache Software Foundation. Flink version 1.1.0 will bring new SQL interface for working with streaming ...

Apache Flink is often compared to Apache Spark, but the main difference is that it can compute data in motion, as it’s being processed, resulting in true real-time data processing.

Samza is now at near-parity with other Apache open-source streaming frameworks such as Flink and Spark. The key features in Samza 1.0 are SQL and a higher level API, adopting Apache Beam. What ...

Compared to open source streaming engines like Apex, Storm, or Heron, Flink does more than streaming. It is more like the reverse image of Apache Spark in that both put real-time and batch on the ...