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, ...

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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 ...

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 ...

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 ...

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 ...

Apache Beam, a unified programming model for both batch and streaming data, has graduated from the Apache Incubator to become a top-level Apache project. Aside from becoming another full-fledged ...

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.