Use the DataRobot integration to interactively fetch data, with Arm Treasure Data as a data source for data modeling.
DataRobot democratizes data science and automates the end-to-end process for building, deploying, and maintaining AI at scale. Powered by the latest open source algorithms, and available in the cloud, on-premise, or as a fully-managed AI service, DataRobot enables you to use AI to drive better business outcomes.
Fetch Data from Treasure Data to DataRobot
Configure a TD-Hive JDBC driver or Presto JDBC driver setting in DataRobot Data Connections setting.
Provide a Data Store name and JDBC URL. For Treasure Data, the connection URL is a database name. You must change the connection URL to your database name in Treasure Data. The example of connecting to the endpoint in the US region follows.
Configure your authentication in the created data connection;
- Presto: Enter your Treasure Data Master API key in Username and dummy string in Password.
- Hive: Enter your Treasure Data login email address and your Treasure Data login password.
DataRobot is ready to be used with Treasure Data to build a batch prediction mode.
Fetch a Prediction Model from DataRobot to Treasure Data
If you want to export a prediction model, built with DataRobot, to TreasureData, you can use the DataRobot Python client and Treasure Workflow with the custom script function.
If you are interested in using this integration, contact Treasure Data support.