Apache Spark's powerful open-source platform enables high-speed data processing for large and complex datasets. The joint benchmarking used the k-core decomposition algorithm of Spark's GraphX ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Apache Spark has been called a game changer and perhaps ...

Josh Grossman provides a brief overview of what the ASVS is, but takes a closer look at balancing trade-offs and prioritizing different security requirements. Josh shares how to make the process ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. by Julia King Spark comes with a diverse set of libraries ...

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, 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 ...

Move over Hadoop, there is another highly scalable data processing powerhouse in town: Apache Giraph. Facebook is using the technology to bring a new style of search to its billion users. “Analyzing ...

A little-known startup called Hazelcast Inc. is hoping to steal some of the limelight from popular open-source projects Apache Spark and Apache Flink, launching what it claims is a faster and ...

Don’t look now but Apache Spark is about to turn 10 years old. The open source project began quietly at UC Berkeley in 2009 before emerging as an open source project in 2010. For the past five years, ...