Apache Spark has fast become the most popular unified analytics engine for big data and machine learning. It was originally developed at UC Berkeley in 2009 by the team who later founded Databricks. Since its release, Apache Spark has seen rapid adoption.
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Apache Spark is an in-memory data analytics engine. It is wildly popular with data scientists because of its speed, scalability and ease-of-use. Plus, it happens to be an ideal workload to run on Kubernetes. ... At Pivotal, our data science team is continuously testing the latest machine learning tools and technologies.
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