
When this happens...
New or Updated Row
Worksheet Updated
New Worksheet
Update columns
New Workbook

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Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when row is created or updated in a selected worksheet.
Set up notifications to trigger when rows are added or changed in a Zoho Sheet worksheet.
Trigger When a new Worksheet created
Update values across a selected column range in a worksheet.
Trigger when a new workbook created
Action is the task that follows automatically within your Zoho Sheet integrations.
Creates a new worksheet within a spreadsheet.
Lists all existing workbooks.
Copies or duplicates an existing worksheet within the same workbook.
Renames an existing worksheet within a workbook.
Creates a new Zoho Sheet workbook using the specified workbook name
Create a new row into a specified worksheet at the given row index

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To start, connect both your Zoho Sheet and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Zoho Sheet triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Zoho Sheet 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 Zoho Sheet 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 Zoho Sheet 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.
Zoho Sheet is a cloud-based spreadsheet application that allows users to create, edit, and share spreadsheets in real time.
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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