![]() ![]() In the following example, we used FindMatches to integrate points of interest information from multiple data sources. ML Transforms: Similar to AWS Glue jobs runs, the cost of running ML Transforms, including FindMatches, on your data will vary based on the size of your data, the content of your data, and the number and types of nodes that you use. If you keep the session running for 24 minutes or 2/5th of an hour, you will be billed for 5 DPUs * 2/5 hour at $0.44 per DPU-Hour or $0.88. An Interactive Session has 5 DPU by default. ![]() Since your job ran for 1/4th of an hour and used 6 DPUs, AWS will bill you 6 DPU * 1/4 hour * $0.44, or $0.66.ĪWS Glue Studio Job Notebooks and Interactive Sessions: Suppose you use a notebook in AWS Glue Studio to interactively develop your ETL code. ETL job: Consider an AWS Glue Apache Spark job that runs for 15 minutes and uses 6 DPU.
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