This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Lg Cns Co., Ltd.. Active years: 2019.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2019
Title: Seok Keun Oh: Innovator in Big Data Management
Introduction
Seok Keun Oh is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of big data processing, holding 2 patents that showcase his innovative approach to managing complex data systems. His work is instrumental in enhancing the efficiency and effectiveness of big data management.
Latest Patents
Seok Keun Oh's latest patents include a management system and method for a big data processing device. This management system features a system management master node and at least one system management agent node that are communicatively coupled over a network. The system is designed to facilitate data transmission through a first request-based communication path and a second response-based communication path. Additionally, he has developed a method of processing big data that allows users to arrange icons in a workflow GUI, check process availability and syntax, convert workflows into execution code, monitor workflows, and display associated information. This method utilizes a Hadoop framework to effectively manage workflows for processing irregular big data.
Career Highlights
Seok Keun Oh is currently employed at LG CNS Co., Ltd., where he continues to innovate in the field of big data. His expertise and contributions have positioned him as a key figure in the industry, driving advancements in data management technologies.
Collaborations
Some of his notable coworkers include Joo Youl Lee and Seung Kab Rho, who collaborate with him on various projects within the company.
Conclusion
Seok Keun Oh's work in big data management exemplifies the importance of innovation in technology. His patents reflect a commitment to improving data processing systems, making significant strides in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
