Feeling stuck with Segment? Say 👋 to RudderStack.
Integrate Zendesk Talk with Google BigQuery
Don't go through the pain of direct integration. RudderStack’s Zendesk Talk integration makes it easy to send data from Zendesk Talk to Google BigQuery and all of your other cloud tools.
Easy Zendesk Talk to Google BigQuery integration with RudderStack
RudderStack’s open source Zendesk Talk integration allows you to integrate RudderStack with your Zendesk Talk to track event data and automatically send it to Google BigQuery. With the RudderStack Zendesk Talk 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.
Available via webhook
Add Zendesk Talk as a source in RudderStack by enabling a webhook source in your RudderStack dashboard, then using our Transformations feature to re-shape the incoming payload. Once configured, RudderStack will send data from your Zendesk Talk source to any destinations you connect. (Note, you will need to configure outbound webhooks in Zendesk Talk.)
Popular ways to use Google BigQuery and RudderStack
Query product analytics data
Import analytics-ready product engagement data into your warehouse. Select the data points you need and sync with the click of a button.
Understand feature adoption
Combine your product analytics data with other data points to fully understand features and their impact on lifetime value.
See the full customer journey
Combine your product analytics data with other digital touchpoints to build a full picture of the customer journey.
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.
