JPMorgan Chase & Co has patented a method for creating a federated, multi-product data mesh using automated code generation. The process involves receiving data models, generating source code, integrating customizations, initiating a CI/CD pipeline, and deploying the service. GlobalData’s report on JPMorgan Chase & Co 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 JPMorgan Chase & Co, Retail trading platforms was a key innovation area identified from patents. JPMorgan Chase & Co's grant share as of February 2024 was 90%. Grant share is based on the ratio of number of grants to total number of patents.
Automated code generation for federated, multi-product data mesh
A recently granted patent (Publication Number: US11922138B2) outlines a method for providing a federated, multi-product data mesh through automated code generation. The method involves receiving data models via an API, generating source code for software components, integrating data product customizations, and deploying services based on the integrated components. The process includes automated continuous integration and continuous delivery (CI/CD) pipelines to streamline service generation and deployment in corresponding namespaces.
Furthermore, the patent details the validation of data models based on predetermined guidelines, the components required to build and execute a data mesh, such as naming services, data sources, and domain-oriented data pipelines. It also emphasizes data governance defined by centrally governed data contracts, enabling trusted data publishing. The method includes exposing software components to developers, receiving customizations, and utilizing standardized mechanisms to query resource metadata across various data products. The patent also covers a computing device and a computer-readable storage medium configured to implement the described method, emphasizing the automation and efficiency in managing complex data ecosystems.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
