Connect Zoom to BigQuery

Windsor.ai is a data integration platform that helps you to automatically sync Zoom data to BigQuery without writing or maintaining any code. The connector tool is easy to use and works within minutes.

Integrate Zoom to BigQuery

Why do I need Zoom and BigQuery integration?

Integrating Zoom and BigQuery is essential to help you extract data for analytics and storage. Here are more benefits of the integration:

Automate data transfer for storage, backup, and analytics

Data integration from Zoom to BigQuery serves multiple purposes. They include data transfer for storage and backup in BigQuery. The integration enables you to store Zoom data with all other business data. Integration also allows automated reporting, particularly because BigQuery has embedded machine learning, AI, and business intelligence tools. Through these functions, automated data integration saves time and money.

Advance collaboration on data among teams

Zoom is a collaboration tool by design. When you integrate Zoom data into BigQuery, you can effectively enhance collaboration based on data insights. Collaboration can be improved by enabling access to data and allowing your teams to work on and from the same datasets by utilizing workflow features in workflows. The result is improvement in productivity and effectiveness among your teams.

Improve the quality and effectiveness of your communications

If you analyze BigQuery, the data and insights from Zoom can improve the quality and effectiveness of your communications. That means you go beyond storing the data to analyze it to improve communication. The business intelligence tools embedded in BigQuery will be helpful in your analytics. You also get insights from AI with pointers on improving communications to achieve your desired results.

Improve performance through data-driven, people-centric approaches

Lastly, you can improve team performance by using data effectively. While Zoom helps you deliver an exceptional collaboration experience, BigQuery allows you to assess the impact of different collaboration approaches on communication and team performance. That is because BigQuery allows you to analyze the data from the Zoom cloud.

How to connect Zoom to BigQuery

1. Register

You need to select Zoom as a Data Source and Grant Access to Windsor.ai.

3. Select Destination
Choose BigQuery as the destination.

4. Create a destination task
Click the Add Destination Task Button and fill out the necessary fields.

5. Sync your Data
In the final step, grant access to the user: [email protected]. That’s all!
Once you go through these steps, you will see that the data is automatically populated into your BigQuery account.

*Note: As a connector URL, you can use any URL providing a JSON. Either from the connectors or for example a URL with cached and transformed data.

FAQs

What is Zoom?

Zoom is a communications platform designed to enable organizations and teams to advance their collaboration on workflows without the limitations of geography. Through Zoom, teams can organize meetings and conferences, share data and messages, and cooperate in developing work projects. Zoom then supports the collaboration by capturing data in the Zoom cloud. The data can be analyzed further to advance how teams work on projects.

Zoom Connectors

Zoom Field Reference

What is BigQuery?

BigQuery is a Google cloud-based data storage service created to allow enterprises to manage large datasets. As a managed cloud service, Google Cloud BigQuery does not require you to maintain any database infrastructure. Instead, the service provider takes care of all versions and updates while ensuring 99.99% uptime so you can enjoy all the benefits offered by the platform. Those benefits include data flows, business intelligence applications, machine learning, and artificial intelligence. You can scale your BigQuery subscription to your needs.

Connect all your data to BigQuery