Oracle International Corporation

Andrew Richard Rundell

Terence Munday

Andrew Ioannou

James Edward Bridges

Carlos E Hernández Rincón

Uzair Ahmed Niazi

Mariana Dayanara Alanis Tamez

Josue Emmanuel Gomez Carrillo

Systems and method are provided for data flattening. A corpus of data is extracted from at least one data source and stored at a data warehousing platform. A workflow is applied to the extracted corpus of data to provide a transformed corpus of data. The workflow includes a sequence of atomic functions selected from a library of atomic functions to perform an associated task on the corpus of data. The transformed corpus of data is provided from the data warehousing platform to a machine learning model as a set of training data.

Data transformation in ingestion processes via workflows utilizing sequences of atomic functions

A computer compliance system checks a software application during a software development process. The system receives an object definition file of the software application comprising a definition of a plurality of objects and generates an object hierarchy that describes the plurality of objects. For each rule of a plurality of rules from a rule engine, the system applies the rule to the object hierarchy, and augments the object hierarchy based on one or more new objects that are generated. When all rules have been applied, the system generates a final object hierarchy and converts the final object hierarchy into a predetermined output format.

Software development compliance system

The present invention relates to a method of processing data files which are generated in accordance with different protocols. Each protocol defines a number of mark-up tags and each data file includes a number of respective mark-up tags, each mark-up tag having respective data associated therewith. The method including storing the data contained in a data file by receiving the data file, determining the protocol definition, and using the protocol definition to determine storage location(s) or processing action(s) for each of the mark-up tags of the data file. Once this has been done the protocol definition is used to determine contextual information for each of the mark-up tags of the data file. The marked up data contained within the data file is then extracted and, stored or processed in accordance with the determined contextual information and at least one of the storage location(s) or the processing action(s).

Data file processing

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Ashland, OR, United States of America

Andrew Richard Rundell