At its core, Dataproc is a fully managed cloud service for running Apache Spark and Apache Hadoop clusters in a simple, cost-effective way. Think of it as "Hadoop and Spark as a service." Instead of ...

In this lab, you're going to take WordCount (an existing Hadoop application that is extensively described in the Hadoop tutorial) and modify it into UrlCount. You can either approach the lab as native ...

Kubernetes (K8s), the open source container orchestration platform, is a big deal, all around the industry. And beyond container technology per se, K8s is really a cluster computing platform, which ...

Google LLC is aiming to make it easier for its cloud customers to deploy and run open-source software projects such as Apache Spark via a new version, released today, of its Cloud Dataproc service ...

Getting insights out of big data is typically neither quick nor easy, but Google is aiming to change all that with a new, managed service for Hadoop and Spark. Cloud Dataproc, which the search giant ...

Though a bit late, Google finally joined the bandwagon by launching a new service called Cloud Dataproc for processing Big Data and analytics. The platform supports real-time streaming, batch ...

Google Cloud’s Dataproc – its big data platform that allows users to run Apache Hadoop and Spark jobs – is getting a boost. Apache Spark 3 and Hadoop 3 have launched general availability, enhancing ...

The main benefits of introducing XONAI for Google Cloud Dataproc include reduced cloud costs for batch processing jobs and more cost-effective resource sharing in containerized deployments. Commenting ...

Head over to our on-demand library to view sessions from VB Transform 2023. Register Here Google today announced that its Cloud Dataproc service for Kubernetes has launched in alpha as the company ...