Generating streaming analytics applications using a glossary

A computer-implemented method, comprising:

• receiving, via a processor, subject matter requirements in a semi-structured format;
• classifying, via the processor, the subject matter requirements based on a predefined taxonomy;
• extracting, via the processor, a list of entities from the subject matter requirements based on grammar;
• generating, via the processor, a solution based on a glossary by detecting a training data set in a model repository based on the classifications and the extracted entities, generating a model based on the training data set, and mapping the extracted entities to at least one streaming analytics application functional component, wherein the solution includes the at least one streaming analytics application functional component and the model;
• and
• generating, via the processor, a streaming analytics application for a stream computing platform in real-time based on the solution, wherein the streaming analytics application includes the at least one streaming analytics application functional component and the model.

A computer program product for generating streaming analytics applications, the computer program product comprising:

• one or more computer-readable non-transitory storage media collectively having program code embodied therewith, the program code executable by a processor to cause the processor to:
• receive subject matter requirements in a semi-structured format;
• classify the subject matter requirements based on a predefined taxonomy;
• extract a list of entities from the subject matter requirements based on grammar;
• generate a solution based on a glossary, wherein generating the solution comprises:
• detecting a training data set in a model repository based on the classifications and the extracted entities;
• generating a model based on the training data set;
• and
• mapping the extracted entities to at least one streaming analytics application functional component including a mining component, wherein the solution includes the model and the at least one streaming analytics application functional component including the mining component;
• and
• generate a streaming analytics application for a stream computing platform in real-time based on the solution, wherein the streaming analytics application includes the model and the at least one streaming analytics application functional component including the mining component.