Connect MYSQL and Google Vertex AI to Build Intelligent Automations
Enable Integrations or automations with these events of MYSQL and Google Vertex AI
Enable Integrations or automations with these events of MYSQL and Google Vertex AI
Actions
Find row(s) from a table
Find row(s) via a lookup column.
Execute a Query (advanced)
You can select, create, update or delete row(s) of table via custom SQL query.
Insert Row
Adds a new row into the table.
Update row(s) in a table
Update any existing row in the given table.
Delete row
Deletes row from a table.
tesitng
this is only for testing purpose
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Frequently Asked Questions
To start, connect both your MYSQL and Google Vertex AI accounts to viaSocket. Once connected, you can set up a workflow where an event in MYSQL triggers actions in Google Vertex AI (or vice versa).
Absolutely. You can customize how MYSQL data is recorded in Google Vertex AI. This includes choosing which data fields go into which fields of Google Vertex AI, setting up custom formats, and filtering out unwanted information.
The data sync between MYSQL and Google Vertex 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 MYSQL and Google Vertex 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 MYSQL
MySQL is an open-source relational database management system (RDBMS) that uses Structured Query Language (SQL) for managing and querying data. It is widely used for its speed, reliability, and flexibility in handling large-scale database applications. MySQL is commonly employed in web development and is a key component of the popular LAMP stack (Linux, Apache, MySQL, PHP/Perl/Python).
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About Google Vertex AI
Build, deploy, and scale machine learning (ML) models, with fully managed ML tools for any use case, with Vertex AI.
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