
When this happens...

Automatically do this!
List Account Types
Create team
Create workbook
List Datasets
List All Connections
Create File
Enable Integrations or automations with these events of Pantry and Sigma Computing
Given a basket name as provided in the url, this will either create a new basket inside your pantry, or replace an existing one.
Given a basket name, return the full contents of the basket.
Given a basket name, this will update the existing contents and return the contents of the newly updated basket.
Given a PantryID, return the details of the pantry, including a list of baskets currently stored inside it.
Update Details in Pantry.
Get all account types with their IDs, names, and descriptions.

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To start, connect both your Pantry and Sigma Computing accounts to viaSocket. Once connected, you can set up a workflow where an event in Pantry triggers actions in Sigma Computing (or vice versa).
Absolutely. You can customize how Pantry data is recorded in Sigma Computing. This includes choosing which data fields go into which fields of Sigma Computing, setting up custom formats, and filtering out unwanted information.
The data sync between Pantry and Sigma Computing 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 Pantry and Sigma Computing. 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.
Pantry is a cloud-based service that provides a simple and efficient way to store and manage data. It is designed to help developers and businesses easily manage their data storage needs with a focus on simplicity and ease of use.
Learn MoreSigma Computing offers a powerful cloud-based analytics platform designed to empower teams with data-driven insights. It enables users to explore, analyze, and visualize data without the need for complex coding, making it accessible for everyone in the organization.
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