How does a DPU help improve Glue jobs?
💡 Model Answer
A Data Processing Unit (DPU) is the unit of measurement for the compute capacity of an AWS Glue job. One DPU provides 4 vCPU cores, 16 GB of memory, and a 10 Gbps network interface. When you run a Glue job, you specify the number of DPUs; more DPUs allow the job to run in parallel across multiple executors, reducing overall runtime. DPUs also determine the amount of memory available for each executor, which is critical for Spark jobs that process large datasets. By scaling DPUs, you can balance cost and performance: a higher DPU count speeds up jobs but increases the hourly charge. Additionally, Glue automatically manages the underlying cluster, so you only pay for the DPUs you allocate. Understanding DPUs helps you optimize job performance and cost.
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