Methods, apparatuses, and systems for data mapping

A computer-implemented method, comprising:

• retrieving a first plurality of data objects associated with a first database schema from a database;
• determining, based at least on the first plurality of data objects, a first data classifier corresponding to the first database schema using a first machine learning model configured based at least in part on correlation metadata indicating a relationship between at least the first database schema from the database and at least one other database schema;
• generating a mapping specification based at least in part on the first data classifier and the first plurality of data objects, wherein the mapping specification comprises one or more rule statements that specifies a movement and/or transformation to determine representation of a second plurality of data objects associated with a second database schema based on the first plurality of data objects associated with the first database schema, wherein the mapping specification is configured to convert the first plurality of data objects associated with the first database schema to the second plurality of data objects associated with the second database schema, wherein the mapping specification is configured to split a combined data portion of the first database schema into a plurality of portions of the second database schema;
• and
• generating the second plurality of data objects based at least in part on the first plurality of data objects and the mapping specification.

A computer program product comprising at least one non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising an executable portion configured to:

• retrieve a first plurality of data objects associated with a first database schema from a database,
• determine, based at least on the first plurality of data objects, a first data classifier corresponding to the first database schema using a first machine learning model configured based at least in part on correlation metadata indicating a relationship between at least the first database schema from the database and at least one other database schema;
• generate a mapping specification based at least in part on the first data classifier and the first plurality of data objects, wherein the mapping specification comprises one or more rule statements that specifies a movement and/or transformation to determine representation of a second plurality of data objects associated with a second database schema based on the first plurality of data objects associated with the first database schema, wherein the mapping specification is configured to convert the first plurality of data objects associated with the first database schema to the second plurality of data objects associated with the second database schema, wherein the mapping specification is configured to split a combined data portion of the first database schema into a plurality of portions of the second database schema;
• and
• generate the second plurality of data objects based at least in part on the first plurality of data objects and the mapping specification.