Connect Google Bigquery and Needle to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
Create Collection
Enable Integrations or automations with these events of Google Bigquery and Needle
Enable Integrations or automations with these events of Google Bigquery and Needle
Actions
Run a Query
run a sql query against a table in bigquery.
Get Rows for Job Completed
Gets batch of rows from completed jobs in BigQuery
Find Row
Find row(s) by specifying a table, a WHERE clause, an optional ORDER BY, and a LIMIT.
Find One Row
Find a row by specifying a table, a WHERE clause, an optional ORDER BY. Optionally, create a row if none are found.
Create Collection
Create a new Collection.
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Frequently Asked Questions
To start, connect both your Google Bigquery and Needle accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in Needle (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in Needle. This includes choosing which data fields go into which fields of Needle, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and Needle 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 Needle. 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 Needle
Needle is an advanced AI-driven platform designed to enhance business operations through intelligent automation and data-driven insights. It leverages cutting-edge artificial intelligence technologies to streamline processes, improve decision-making, and drive efficiency across various business functions.
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