When this happens...

Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Enable Integrations or automations with these events of Google Merchant and Databricks
Deletes a product from your Google Merchant Center account.
Adds a product to your Google Merchant account so customers can find it on Google Shopping.
Get the products in the selected Merchant Center account.
Update an existing product’s details in your Google Merchant account so the listing shows the latest information.
Creates a new Databricks cluster for processing tasks.
Create a directory by a path.
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To start, connect both your Google Merchant and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Merchant triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Google Merchant data is recorded in Databricks. This includes choosing which data fields go into which fields of Databricks, setting up custom formats, and filtering out unwanted information.
The data sync between Google Merchant and Databricks typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Google Merchant and Databricks. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Google Merchant helps businesses manage their product listings and reach more customers through Google Shopping. It allows you to upload and maintain product information, ensuring your products are visible to potential buyers.
Learn MoreDatabricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.
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