Connect Google Bigquery and Telegram to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
Send Telegram Message
Send Poll
Send Reply to a Message
Send a Photo
Get Member Count
Send Document
List Messages
Get A File
Delete a Message
Verify Channel Subscription
Send A Message In Group Using Bot
Ready to use Google Bigquery and Telegram automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Message
Triggers when a new message is received by your bot.
New Image
Trigger's when a new image is sent to the bot.
New Update's
Triggers when a new update is sent or received on the channel to the bot.
New Image/Message
Trigger's when a new image/message is sent to the bot.
Do thisActions
Action is the task that follows automatically within your Google Bigquery integrations.
Delete Rows
Deletes rows from a BigQuery table that match the provided WHERE condition.
Run SQL query
Run a SQL query and return results.
Find Row
Find row(s) by specifying a table, a WHERE clause, an optional ORDER BY, and a LIMIT.
Insert Rows
Insert one or more rows into a BigQuery table.
Update Rows
Update specified fields in rows of a BigQuery table that match the provided WHERE condition.
Create a Table
Creates a new, empty table in the dataset.
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Frequently Asked Questions
To start, connect both your Google Bigquery and Telegram accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in Telegram (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in Telegram. This includes choosing which data fields go into which fields of Telegram, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and Telegram 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 Bigquery and Telegram. 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.
About Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Learn MoreAbout Telegram
Bots on Telegram are small applications that run entirely within the platform and can be designed to support any kind of task or service.
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