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 ...

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 jobs, ...

Impetus Technologies, a big data thought leader and software solutions company, announced StreamAnalytix™ 3.0 featuring support for Apache Spark-based batch processing and enriched online and offline ...

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 by the ...

Berlin-based big-data company data Artisans GmbH today announced that its dA Platform based on the Apache Flink stream processing framework, is generally available almost a year and a half after it ...

Impetus Technologies, has announced StreamAnalytix 3.0, which adds support for Apache Spark-based batch processing and enriched online and offline machine learning features. The new capabilities are ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...

Among stream processing engines, Spark Streaming is gaining popularity, while Apache Storm has been in production deployments for many years and is a robust, proven, widely used option. StreamAnalytix ...

Spark comes with a diverse set of libraries “out of the box,” making previously inaccessible processing models easy-to-use and providing a full suite of complementary tools, including a fully featured ...

A monthly overview of things you need to know as an architect or aspiring architect. Traditional caching fails to stop "thundering herds" where multiple clients trigger the same work during a miss.