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Fig 1
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- ZDB-FIG-230211-100
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- Pollak et al., 2023 - First steps into the cloud: Using Amazon data storage and computing with Python notebooks
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Fig 1
Outline of the pipeline used to work with AWS.
Data from the microscope is moved to S3 data storage using university-provided networks. Data transfer rate can range between 10-100Mb/s. Within AWS cloud infrastructure, data is moved at >10GB/s from storage to EC2 virtual machines to be processed through a Python or Julia Jupyter notebook. |
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