Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Lily Mara explains how to avoid high-risk ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Apache Spark has come to represent the next generation of big data processing tools. By drawing on open source algorithms and distributing the processing across clusters of compute nodes, the Spark ...

Spark, written in Scala, provides a unified abstraction layer for data processing, making it a great environment for developing data applications. Spark comes with a choice of Scala, Java, and Python ...

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 ...

After spending several years in the shadow of Hadoop, the Apache Spark data processing engine is stepping out into the light as a tool for use in big data architectures. And last week, the open source ...

Apache Spark is an open source parallel processing framework for running large-scale data analytics applications across clustered computers. It can handle both batch and real-time analytics and data ...

Redis Labs is offering integration with Spark SQL, and releasing a Spark-Redis connector package that promises to accelerate processing time. Redis Labs is a commercial provider of Redis, the open ...

Google is adding another product in its range of big data services on the Google Cloud Platform today. The new Google Cloud Dataproc service, which is now in beta, sits between managing the Spark data ...

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 ...