In this article you'll learn how to open the Incorta Notebook.
The Incorta Notebook was designed for creating materialized views in Incorta. A materialized view is a physical schema that defines an Apache Spark job. The job consists of a...
OverviewWhat you should know before reading this articleSolutionCreate New Project Select Data SourceCreate JDBC ConnectionBest PracticesOnly Share the Schemas RequiredCreate Business SchemasReuse and Share the Data across Multiple ML ProjectsReferen...
The assumption is that we will have to create the ML model in Data Robot and the endpoint has been enabled on the data robot side.
DataRobot provides the Python API that can be called by the client to perform the prediction.
DataRobot prediction A...
In this article, we assume that Incorta is running in an on-premise env and we can call Data Robot real-time API to get the prediction.
1. Read the Incorta data in Incorta Notebook.
2. The Data Robot Prediction assumes that t...
OverviewUse CaseSolutionAssumptionsConfigure TAZI to save the result1. Go to the business models, Go to CHANGE IO2. Add DestinationUse the Incorta DataLake Connector to load the data3. Add Data Lake Data Source4. Create a schema5. Create a table6. Cr...
Here are two other solutions in Incorta:
Using Incorta SQL Table.
Business Schema - SQL view
This is a new feature in Incorta.
Here are the results:
For the above solutions, I'm using Incorta Cloud Release:...