Connect Tisane and Google Bigquery to Build Intelligent Automations
Enable Integrations or automations with these events of Tisane and Google Bigquery
Enable Integrations or automations with these events of Tisane and Google Bigquery
Actions
Analyze Text
Processes the input text and returns insights such as sentiment, keywords, or other linguistic data.
Detect Language
Identifies the language of the given text input automatically.
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.
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Frequently Asked Questions
To start, connect both your Tisane and Google Bigquery accounts to viaSocket. Once connected, you can set up a workflow where an event in Tisane triggers actions in Google Bigquery (or vice versa).
Absolutely. You can customize how Tisane data is recorded in Google Bigquery. This includes choosing which data fields go into which fields of Google Bigquery, setting up custom formats, and filtering out unwanted information.
The data sync between Tisane and Google Bigquery 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 Tisane and Google Bigquery. 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 Tisane
Tisane is NLU with a focus on abusive content & lawtech / regtech needs. We detect cyberbullying / personal attacks, hate speech, sexual advances, obfuscated profanities, criminal activity, and more.
Learn MoreAbout Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
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