Machine learning for a memory-based database

A non-transitory computer-readable storage medium that stores a computer program, the computer program including instructions that, when executed by a computer, cause the computer to perform operations comprising:

• accessing a database of business objects that include enterprise data, the business objects including data tables that relate semantic labels to the enterprise data applying one or more rules that use the semantic labels to select enterprise data corresponding to the semantic labels;
• using the selected enterprise data to determine modeling parameters that relate a semantic-label input set to a semantic-label output set, the semantic-label input set and the semantic-label output set each including at least one of the semantic labels;
• using the modeling parameters to generate a simulation table that predicts an operational range of at least one business object corresponding to at least one of the semantic labels;
• and
• augmenting the at least one business object in the database by including the simulation table in the at least one business object.

An apparatus comprising:

• a computer;
• and
• a computer-readable medium connected to the computer, the computer-readable medium storing computer-executable modules including:
• a database-access module configured to access a database of business objects that include enterprise data, the business objects including data tables that relate semantic labels to the enterprise data;
• a rule-application module configured to apply one or more rules that use the semantic labels to select enterprise data corresponding to the semantic labels;
• a modeling module configured to use the selected enterprise data to determine modeling parameters that relate a semantic-label input set to a semantic-label output set, the semantic-label input set and the semantic-label output set each including at least one of the semantic labels;
• a simulation module configured to use the modeling parameters to generate a simulation table that predicts an operational range of at least one business object corresponding to at least one of the semantic labels;
• and
• a database-augmentation module configured to augment the at least one business object in the database by including the simulation table in the at least one business object.