Microsoft SQL Server and TensorFlow integration + automation
Microsoft SQL Server and TensorFlow integrations couldn’t be easier with the Tray Platform’s robust Microsoft SQL Server and TensorFlow connectors, which can connect to any service without the need for separate integration tools.
Popular Microsoft SQL Server and TensorFlow integrations
Microsoft SQL Server and TensorFlow Connector Details
Connector TypeTray Connector
Operations
View documentationInsert rowsList table fields DDLList tables DDLList tables and views DDLList views DDLUpdate rowsRun SQL queryCount rowsDelete rowsFind rows
Minor Configuration Required
To get data in and out of Microsoft SQL Server and TensorFlow, use one of our generic connectivity options such as the HTTP Client, Webhook Trigger, and our Connector Builder
While it takes a little more time up front - we suggest using Connector Builder to make it faster to build Microsoft SQL Server and TensorFlow integrations down the road.
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