To create a connection in a RapidMiner AI Hub repository, The values of the injected parameters are not stored in the connection object,īut retrieved from an external source every time the connection is used. The solution is to build the connection as a template, where all the common parametersĪre pre-filled, and all the parameters unique to each user are injected. Suppose that a group of users has access to the same database,Īnd they collaborate on RapidMiner AI Hub.Ĭan they share the database connection, without sharing their usernames and passwords? Or by right-clicking on the connection and choosing Open or Edit. You can view the connection details at any time by double-clicking on the connection in the Repository Panel, The connection will appear in the Connections subfolder of the repository you selected in step (1). Under the Setup tab, select the Database System and fill in User, Password, Host, Port, and (optionally) the Database name.Press Create and the Edit Connection dialog opens.Choose the Connection Type ( Database), Repository (where the connection will be stored) and Connection Name.The Create connection dialog opens, and you can configure your connection. To create a connection, right-click on the Retrieve it, before connecting the output You can, for example, drag a database connection into the Process Panel to Similarities to other objects in the repository. When the connection to your data occurs over a network, you must first create a connection object.Ī connection object enables the connection to a database, cloud, or email service.Īll connection objects are stored in a repository, in theįrom now on, we'll simply call them connections, remembering however that they have The good news is that RapidMiner Studio supports a wide range ofįile formats, databases, cloud services, and other software tools, If the connection is via a proxy or a self-signed SSL certificate, RapidMiner Studio has to navigate that hurdle.If the data is imported from or exported to another software tool, for example Python or Tableau, RapidMiner Studio has to know about that tool.If the data is in the cloud, RapidMiner Studio has to connect to the cloud service and know its API.If the data is in a database, RapidMiner Studio has to connect to that database, and know the language of that database (SQL / NoSQL).If the data is in a file on your computer, RapidMiner Studio has to read the file format.To be effective as a data science tool, RapidMiner Studio has to first connect to your data.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |