Integrate Zendesk Chat with Google BigQuery
Don't go through the pain of direct integration. RudderStack’s Zendesk Chat integration makes it easy to send data from Zendesk Chat to Google BigQuery and all of your other cloud tools.
Easy Zendesk Chat to Google BigQuery integration with RudderStack
RudderStack’s open source Zendesk Chat integration allows you to integrate RudderStack with your Zendesk Chat to track event data and automatically send it to Google BigQuery. With the RudderStack Zendesk Chat integration, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.
Popular ways to use Google BigQuery and RudderStack
Import analytics-ready customer support data into your warehouse. Select the data points you need and sync with the click of a button.
Run analytics and ML on your raw support ticket data to gain a better understanding of sentiment and outcomes.
Build richer, data-driven training programs for your sales reps based on actual ticketing and response data.
Frequently Asked Questions
About Google BigQuery
Google BigQuery is an industry-leading fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time and leverage Google’s machine learning features. RudderStack lets you add Google BigQuery as a destination where you can send your customer event data and params from the data source of your choice., without the pain of detailed setup or custom pipeline development. Setting up a pipeline to BigQuery cloud storage requires a significant amount of detailed engineering work, dealing with googleapis, config files, commands like createdataset and create table and more. With RudderStack, you simply need to set up a service account for authentication in Google Cloud Platform, ensure your IAM profile has the correct permissions and then specify the required details (like projectid). From there, RudderStack will take care of sending data directly to GCP (google-cloud/bigquery), including metadata, without you having to manage a cloud client library, set up a new git workflow in your command line or spend engineering cycles trying to optimize loads. In fact, with RudderStack’s streaming integrations you can even send data to Google in real-time. If you have multiple databases, RudderStack also allows you to send data to relational databases like PostgreSQL, SQL server, mySQL and more.