Mix and Match Predictive Approach. From BlobStorage and SQL Server through In-Database Processing till KNIMEAnalytics Model Training.

This workflow reads CENSUS data from a SQL Server database; it then performs some In-Database Processing on SQL Server; it trains a KNIME decision tree model to predict COW values based on all other attributes; and it finally joins the results with data from BlobStorage on the Azure Cloud. Data for this example come from the new CENSUS dataset which is publicly available and can be downloaded from: http://www.census.gov/programs-surveys/acs/data/pums.html A full explanation of all attributes can be found in: http://www2.census.gov/programs-surveys/acs/tech_docs/pums/data_dict/PUMSDataDict15.pdf

This is a companion discussion topic for the original entry at https://kni.me/w/LskKrInTdHQ9h19Q