Skip to main content

Google Cloud Bigquery Analyticshub API client library

Project description

preview pypi versions

BigQuery Analytics Hub API: Analytics Hub is a data exchange that allows you to efficiently and securely exchange data assets across organizations to address challenges of data reliability and cost. Curate a library of internal and external assets, including unique datasets like Google Trends, backed by the power of BigQuery.

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 BigQuery Analytics Hub 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.

Code samples and snippets

Code samples and snippets live in the samples/ folder.

Supported Python Versions

Our client libraries are compatible with all current active and maintenance versions of Python.

Python >= 3.7

Unsupported Python Versions

Python <= 3.6

If you are using an end-of-life version of Python, we recommend that you update as soon as possible to an actively supported version.

Mac/Linux

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-bigquery-analyticshub

Windows

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-bigquery-analyticshub

Next Steps

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Built Distribution

google_cloud_bigquery_analyticshub-0.2.0-py2.py3-none-any.whl (53.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file google-cloud-bigquery-analyticshub-0.2.0.tar.gz.

File metadata

File hashes

Hashes for google-cloud-bigquery-analyticshub-0.2.0.tar.gz
Algorithm Hash digest
SHA256 9ae92f9a05b9ac2162d865829ee12c7e12cb8da75be8a8c16fcf54114b619251
MD5 0ec6f410f72dd8f4dbeb5d71e50a1030
BLAKE2b-256 b212c9cce04237660a83d286b90a54228ab111cd63267ac9c094ed769986eaf3

See more details on using hashes here.

File details

Details for the file google_cloud_bigquery_analyticshub-0.2.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for google_cloud_bigquery_analyticshub-0.2.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 18a8a7ecdee475d8d11f5ba0c67e5c68b813ef9dcb61e7254c5969d3633aaec6
MD5 3be36df094d7ab9f36e429d51c2f967e
BLAKE2b-256 323fbcd58e3faa5404cede822da4654a73117e2e11e56057acbaa115a8ca6fd9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page