CDK Global. has been granted a patent for a method that enables data validation between a legacy Pick database and a modern microservice architecture. The process involves parallel operation of both databases, converting data formats, and ensuring consistency between business objects through comparison and updates. GlobalData’s report on CDK Global gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on CDK Global, AI for workflow management was a key innovation area identified from patents. CDK Global's grant share as of June 2024 was 68%. Grant share is based on the ratio of number of grants to total number of patents.
Data validation between legacy and modern databases
The patent US12045212B2 outlines a method for validating data across disparate databases, specifically focusing on a Pick database and a modern microservice database. The method operates in parallel with both database architectures, allowing for the retrieval and conversion of data from the Pick database, which is associated with a dealer management system. The process involves extracting raw data entries from the Pick database, converting them into an external format (such as XML), and then restructuring this data into a common format (like JSON). The corresponding data from the modern database is also converted to the common format, enabling a comparison that is agnostic to the type of business object being analyzed. This validation process ensures that the information in both databases is consistent, and in cases of discrepancies, a message is sent to update the modern database using the master copy from the Pick database.
Additionally, the patent describes the use of a non-transitory computer-readable storage medium and a computing apparatus that executes the outlined method. The apparatus is designed to monitor the Pick database for updates to various business objects, such as customer or employee data. Upon detecting an update, the system generates a message indicating which business object has been modified. This comprehensive approach not only facilitates data consistency between the two database systems but also enhances the reliability of the information stored within a centralized dealer management system and a modern microservice architecture. The claims emphasize the importance of maintaining data integrity across different database structures, which is crucial for effective data management in contemporary business environments.
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