cloud-data-connector 0.0.0.dev1

Package Placeholder

Overview

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data_connector is a tool to connect to AzureML, Azure blob, GCP storage, GCP Big Query and AWS storage S3. The goal is provide all cloud managers in one place and provide documentation for an easy integration.

For more details, visit the [Data Connector](repo link) GitHub repository.

Hardware Requirements

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The hardware should comply with the same requirements that the cloud service.

How it Works

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The package contains the following modules:

Package Components
data_connector.aws
data_connector.gcp
data_connector.azure

Each module is capable of connect, download and upload operation to it-s corresponding cloud service.

Getting Started

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It is strongly recommended to use a virtual environment to ensure proper operation, example:

conda create -n venv python=3.10 -c conda-forge
conda activate venv

You can install the package with:

python -m pip install intel-cloud-data-connector

data_connector modules can be used as follows from python:

from data_connector import aws
from data_connector import gcp
from data_connector import azure

Expected Output

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#TODO: Create a usage example

Learn More

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For more information about data_connector, see these guides and software resources:

• github/repo/link #TODO: Update public repo

Support

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If you have questions or issues about this package, contact the Support Team. data_connector has an Apache license, as found in the LICENSE file. Dependencies versions higher than currently implemented ones are in beta and should be used with caution.