DataRobot

The Lyftron Provider for DataRobot offers the most natural way to access DataRobot data from Lyftron with ease and also enables to connect with BI, MDM & ML tools, Data warehouses, Databases and other SAAS based applications with zero code and zero infrastructure requirements. The provider wraps the complexity of accessing DataRobot data into easy-to-integrate relational fully managed ANSI Sql format. Make faster and better business decisions with Lyftron’s DataRobot data provider and automatically build your data migration pipelines in minutes, not months

The provider hides the complexity of accessing data and provides additional powerful security features, smart caching, batching, socket management, and more.

Key Features

• Comprehensive Delta load mechanism.
• Real-time access to DataRobot.
• Comprehensive full support of ANSI Sql to query data with ease.
• Collaborative query processing.

Prerequisites

The user must have credentials for DataRobot, Lyftron and your destination data warehouse, lake or database to perform the data pipeline operation with Lyftron

Establishing a Connection with Lyftron's Quickstart Steps

Create your DataRobot connection with Lyftron by following the 5 easy steps show below:

Step1. Add your connection

Click on Connect section on the left panel →  Click on Add Connection button

Step2. Select your connector

In the connector selection panel, search and click DataRobot for your connection 

Step3. Enter your connection details

In the Connection String section enter the values of the below parameters. The following connection string is required to establish DataRobot connection with Lyftron.

"User=Lyftron;Password=Lyftron;DataRobotKey=123-abc-456-def;PredictionInstance=myinstance.orm.datarobot.com;DataFile=PATH\\TO\\input_file.csv;"

Key	Value	Field
Connection Name	Enter your connection details	Required
User	Lyftron	Required
Password	Lyftron	Required
DataRobotKey	123-abc-456-def	Required
PredictionInstance	myinstance.orm.datarobot.com	Required
DataFile	PATH\\TO\\input_file.csv
Logfile**	Use the logfile option to debug your job and provide your connection name to generate the log file.  [ConnectionConfigurationPath]\Connection_name_log.tx	Optional
Verbosity**	Choose verbosity 1-5 based on the severity of debugging	Optional

** For more information, check the Lyftron logging and debugging section.

If you want more detailed information about how to establish a connection with Lyftron, click on Lyftron Connection Quick Start guide.

Step4. Test your connection

Once you are done entering your connection details, simply click on the Test Connection button to test the connectivity. In case your connection fails, add Logfile and Verbosity parameters and check the Lyftron logging and debugging section, to debug the error.

 Step5. Save your connection

Hurray! Now you have successfully connected with the Lyftron DataRobot connector and can utilize the connector to Extract, Warehouse, Analyze, Visualize and Share your data.

Data Model

Views are composed of columns and pseudo columns. Views are similar to tables in the way that data is represented; however, views do not support updates. Entities that are represented as views are typically read-only entities.

Name	Type	Description
Models	Views	Datarobot models for a specific project
Predictions	Views	Datarobot Predictions for a specific project
Projects	Views	Datarobot Projects
RecommendedModels	Views	Datarobot RecommendModels for a specific project