Systems and methods for processing hierarchical, semi-structured, schema-less, polymorphic data
AssigneeTDAA Technologies Corp
InventorsJon Eric Farr, Andrew McKennie Curran
Life of this patent
Estimating the term…
Loading patent…
AssigneeTDAA Technologies Corp
InventorsJon Eric Farr, Andrew McKennie Curran
Estimating the term…
Provided are systems and methods to transform a specified source dataset into a fully defined data format that details every attribute value in all levels for each document or record in the source dataset. According to various embodiments, the systems and methods are configured to execute recursive analysis on a specified data source, build out a fully specified data format and associated meta-data, enable user adjustments to a fully schema, and trigger automatic generation of code to transform the source to the new destination format even in the presence of polymorphic data. The process to scan source data involves recursively evaluating every attribute value in all levels for each document or record in the source dataset to account for any polymorphic data. The scan determines each attribute's data type usage, datetime formats and can interrogate string data to identify objects within string data.
A system for transforming source data and generating a fully specified data format, the system comprising:
A computer implemented method for transforming source data and generating a fully specified data format, the method comprising:
A non-transitory computer readable medium comprising instructions that when executed cause at least one processor to perform a method for transforming source data and generating a fully specified data format, the method comprising:
Dependencies are inferred from the claim text.