Connect Google Bigquery and exa.ai to Build Intelligent Automations
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- Request a new Trigger for Google Bigquery
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Enable Integrations or automations with these events of Google Bigquery and exa.ai
Enable Integrations or automations with these events of Google Bigquery and exa.ai
Actions
Delete Rows
Deletes rows in a Google BigQuery table that match the condition you provide.
Run SQL Query
Run a SQL query on Google BigQuery and return the results.
Insert Rows
Adds one or more rows to a BigQuery table.
Update Rows
Change specific fields for rows in a BigQuery table that match the rules you provide.
Create Table
Creates a new, empty table in a BigQuery dataset.
List BigQuery Projects
Lists the BigQuery projects you have access to.
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Frequently Asked Questions
To start, connect both your Google Bigquery and exa.ai accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in exa.ai (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in exa.ai. This includes choosing which data fields go into which fields of exa.ai, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and exa.ai 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 exa.ai. 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 exa.ai
Exa.ai is a cutting-edge platform that leverages artificial intelligence to provide innovative solutions for various industries. It offers tools and services that enhance productivity, automate processes, and deliver insights through advanced AI algorithms.
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