A business scenario for predicting the MTBF for newly introduced parts using machine learning technology.
Use these
ETLs to get output from Zeppelin Notebooks, transform data if required, and save results in the Servigistics schema.
Output
◦ QO_ETL_PAI_ML_MTBF_ClusterAnalysisAndClusterDetail_MSSQL
◦ QO_ETL_PAI_ML_MTBF_ClusterAnalysisAndClusterDetail_ORACLE
◦ QO_ETL_PAI_ML_MTBF_TempClusterDetail_ORACLE
◦ QO_ETL_PAI_ML_MTBF_TempClusterDetail_MSSQL