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Apache Spark


On June 16, 2022, Apache Spark released its new version, v3.3. The highlight of this version is that it provides framework support for customized Kubernetes schedulers and, for the first time, uses Volcano as the default batch scheduler. Spark users can now easily move from Hadoop to Kubernetes and achieve high performance on large-scale data …

At Google Cloud, we’re committed to helping you build an open and integrated data platform that meets your specific business needs. We believe in order to build the world you want, you need to be able to use the tools you want, on a powerful and unified platform. To that end, we’re making Apache Spark …

Apache Spark has become a popular platform as it can serve all of data engineering, data exploration, and machine learning use cases. However, Spark still requires the on-premises way of managing clusters and tuning infrastructure for each job. This increases costs, reduces agility, and makes governance extremely hard; prohibiting enterprises from making insights available to …