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Showing 4 open source projects for "export"
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Dataproc Templates
Dataproc templates and pipelines for solving simple in-cloud data task
Dataproc templates are designed to address various in-cloud data tasks, including data import/export/backup/restore and bulk API operations. These templates leverage the power of Google Cloud's Dataproc, supporting both Dataproc Serverless and Dataproc clusters. Google provides this collection of pre-implemented Dataproc templates as a reference and for easy customization. -
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Kubeflow
Machine Learning Toolkit for Kubernetes
Kubeflow is an open source Cloud Native machine learning platform based on Google’s internal machine learning pipelines. It seeks to make deployments of machine learning workflows on Kubernetes simple, portable and scalable. With Kubeflow you can deploy best-of-breed open-source systems for ML to diverse infrastructures. You can also take advantage of a number of great features, such as services for managing Jupyter notebooks and support for a TensorFlow Serving container. Wherever you... -
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M3O
Next generation cloud
...All APIs are available through one endpoint. Call any API using your token in the Authorization: Bearer [Token] header. Grab your API token from the dashboard and try out HelloWorld and export it. -
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AWS Greengrass Core SDK for JavaScript
Greengrass Nodejs SDK
The AWS Greengrass Core SDK for JavaScript allows developers to write JavaScript Lambda functions that will run within Greengrass. This document provides instructions for preparing your Greengrass Core environment to run Lambda functions written in JavaScript. It also includes examples on how to develop a Lambda function in JavaScript as well as packaging and running an example Hello World file in JavaScript for your Greengrass core. The environment where Greengrass is running on needs to be... -
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