How To Access And Query Your Google BigQuery Data Using Python And R

• bigrquery

  2 504 8.5 R

  An interface to Google's BigQuery from R.

  

In this post, we see how to load Google BigQuery data using Python and R, followed by querying the data to get useful insights. We leverage the Google Cloud BigQuery library for connecting BigQuery Python, and the bigrquery library is used to do the same with R.

• BigQuery-Python

  1 449 1.8 Python

  Simple Python client for interacting with Google BigQuery.

To query your Google BigQuery data using Python, we need to connect the Python client to our BigQuery instance. We do so using a cloud client library for the Google BigQuery API. You can also choose to use any other third-party option to connect BigQuery with Python; the BigQuery-Python library by tylertreat is also a great option.

• SurveyJS

  surveyjs.io sponsored

  Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

  

• rudderstack-docs

  20 20 3.5 JavaScript

  Documentation repository for RudderStack - the Customer Data Platform for Developers.

  

If you are interested in learning more about how to get your data from your data sources into tools like Google BigQuery and other data warehouse solutions in real-time, you should explore the Customer Data Infrastructure tools like RudderStack.

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