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Apache Spark teams up with Kubernetes to tackle scalable data workloads. This duo enhances cost efficiency and permits dynamic resource allocation for big data analytics. By employing spot instances and autoscaling, organizations can slice costs by 40-60% while keeping things flexible across multiple clouds or on-premise.
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