A business scenario to forecast demand for New Part Introductions in the short-term and find the similar matching historical parts based on their attributes.
Use these
ETLs to get output from Zeppelin Notebooks, transform data if required, and save Zeppelin Notebook results in the Servigistics schema.
Output
◦ QO_ETL_PAI_ML_NPI_Forecast_MSSQL
◦ QO_ETL_PAI_ML_NPI_Forecast_ORACLE