Automate Tableau to BigQuery Integration

Integrate Tableau with BigQuery to schedule automated exports of views’ data to your BQ tables without any coding required.

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Why connect Tableau to BigQuery

Create a backup copy of your data

Use BigQuery as a place to store a backup copy of the data extracted from your Tableau views. Connect Tableau to Google BigQuery in a few easy steps without coding or installing unsafe third-party software. With just a few clicks, select a Tableau view to extract data from and a BigQuery table to load the data to. Enable the automatic data refresh and configure the frequency for scheduled exports of data to make your backup copy self-updating. Apply other features provided by the Tableau to BigQuery integration, such as selectable import mode, table schema autodetect, and others.

Compile data from multiple sources in one repository

Collect data from different sources including Tableau in your dedicated BigQuery projects as a single destination. Blend the data extracted from Tableau views with the information exported from other apps and files in BigQuery data sets or tables. Enhance your reporting by automating data flows from different sources to BigQuery and transforming the loaded data according to your needs. Build custom reports or dashboards based on the collected and compiled data from Tableau and numerous other supported sources.

Carry out advanced data analysis

Use the data exported from Tableau dashboards to make advanced queries in BigQuery. Form multi-sources datasets and analyze them to derive insights to make data-driven decisions. Leverage the Tableau data in making forecasts, building machine learning models, and using other analytics options of BigQuery. Integrate Tableau with BigQuery to schedule exports of data from your views instead of manually downloading CSV files every time you need to refresh your data.

What you can export with the Tableau BigQuery integration

01. Data from Tableau dashboards

When you connect Tableau to BigQuery, you’ll be able to export data from your dashboards directly to BigQuery tables without the need to manually download data as CSV and then upload it. Automate this data flow by enabling the automatic data refresh feature and choosing the schedule that will satisfy your needs. The integration will export views’ data from Tableau every day, every hour, or at another frequency that you customize.

Make the automated data flow an essential part of the decision-making process that rests on data. Optimize your reporting and enhance your analytics with the help of scheduled exports of data from Tableau to BigQuery. Enjoy the benefits of the no-code integration that you can set up within 2 minutes and without having any coding skills at all.

How to integrate Tableau with BigQuery

  1. Step 1. Select Tableau as a data source and Google BigQuery as a data destination
    10 seconds
  2. Step 2. Connect your Tableau account
    15 seconds
  3. Step 3. Enter the View URL
    15 seconds
  4. Step 4. Connect your BigQuery project and specify the dataset and table for the data
    1 minute
  5. Step 5. Set up a schedule for automatic data refresh and run the integration
    15 seconds

Why use to link Tableau to BigQuery allows you to connect Tableau Online to Google BigQuery without any coding or complex installation process. You can export data from Tableau dashboards on-demand with just a few clicks and even automate this data flow if required. The frequency for the automated data exports starts from every month to every 15 minutes and you can also select days of the week, time preference, and time zone for your schedule.

The Tableau to BigQuery integration will let you enhance your decision-making by eliminating the need to manually download data from Tableau views. The automated data flow means that you can insert the Tableau data to self-updating reports, dashboards, complex queries, forecasts, and perform other advanced analytics.

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" automatically imports the full dataset you need and it refreshes it completely on any schedule you want. No triggers necessary. And the best of all, the team is very supportive.

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"The integrations are easy to set up and automate, my colleagues think I'm a genius, but it's really that is doing the heavy lifting.

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