Version 1.3.0

• 1.11.1 (latest)
• 1.11.0
• 1.10.5
• 1.9.0
• 1.8.2
• 1.7.1
• 1.6.0
• 1.5.3
• 1.4.2
• 1.3.0
• 1.2.1
• 1.1.0
• 1.0.2
• 0.1.2

Python Client for Cloud Data Fusion

Cloud Data Fusion: helps users build scalable, distributed data lakes on Google Cloud by integrating data from siloed on-premises platforms.

• Client Library Documentation

• Product Documentation

Quick Start

In order to use this library, you first need to go through the following steps:

1. Select or create a Cloud Platform project.

2. Enable billing for your project.

3. Enable the Cloud Data Fusion API.

4. Setup Authentication.

Installation

Install this library in a virtualenv using pip. virtualenv is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions.

With virtualenv, it’s possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.

Mac/Linux

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-data-fusion

Windows

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-data-fusion

Next Steps

• Read the Client Library Documentation for Cloud Data Fusion to see other available methods on the client.

• Read the Cloud Data Fusion Product documentation to learn more about the product and see How-to Guides.

• View this README to see the full list of Cloud APIs that we cover.