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 ...

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 ...

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 ...

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 ...

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 ...

Hadoop and Spark are two of the most popular data processing frameworks for big data architectures. They're both at the center of a rich ecosystem of open source technologies for processing, managing ...

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 ...

Google will be feeling pretty pleased with itself after its Cloud Dataflow service outperformed the immensely popular Apache Spark data processing engine in a recent benchmark study carried out by ...