Automated data discovery with external knowledge bases

A computer-implemented method comprising:

• receiving a request to analyze a data set stored in the memory device, the data set including one or more columns, the one or more columns including one or more data values in one or more cells of each column;
• classifying each of the one or more columns as a type of column;
• for a selected one of the one or more columns, if the selected column's type is an external type, joining one or more columns of an external knowledge base correlated to the selected column into the data set to create an expanded data set;
• executing an automated data discovery model on the expanded data set to automatically determine insights from the expanded data set not discoverable by executing the automated data discovery model on the data set and
• train the automated data discovery model on the expanded data set.

A tangible, non-transitory computer-readable storage medium having instructions encoded thereon which, when executed by a processing device, cause the processing device to:

• receive a request to analyze a data set stored in the memory device, the data set including one or more columns, the one or more columns including one or more data values in one or more cells of each column;
• classify each of the one or more columns as a type of column;
• for a selected one of the one or more columns, if the selected column's type is an external type, join one or more columns of an external knowledge base correlated to the selected column into the data set to create an expanded data set;
• execute an automated data discovery model on the expanded data set to automatically determine insights from the expanded data set not discoverable by executing the automated data discovery model on the data set;
• and
• train the automated data discovery model on the expanded data set.

A processing system comprising:

• a database including a data set, the data set including one or more columns, the one or more columns including one or more data values in one or more cells of each column;
• and
• an analyzer to receive a request to analyze the data set, the analyzer including:
• a classifier to classify each of the one or more columns as a type of column;
• and
• a join engine to, for a selected one of the one or more columns, if the selected column's type is an external type, join one or more columns of an external knowledge base correlated to the selected column into the data set to create an expanded data set;
• an analysis engine to execute an automated data discovery model on the expanded data set to automatically determine insights from the expanded data set not discoverable by executing the automated data discovery model on the data set;
• and
• a model trainer to train the automated data discovery model on the expanded data set.