San Mateo, CA, United States of America

Alexander Munk


Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Introduction

Alexander Munk, an inventive mind based in San Mateo, California, has made significant contributions to the field of log file analysis. He holds one patent that showcases his innovative approach to processing remote log files.

Latest Patents

Munk's patent is titled "Incorporation of dynamic search results from a remote source into a local file system for log file analysis." This patent establishes a system that allows tools to process remote log files as though they are located within the local file system. Utilizing technology such as the file system in user space (FUSE), the system enhances log file search capabilities by integrating search results into the local environment. In various embodiments, the search results are linked to virtual files in the local file system, which allows for efficient data retrieval. Notably, a remote data store system communicates with the local system, delivering search results promptly in response to user queries.

Career Highlights

Alexander Munk is currently employed at Dashbase LLC, where he applies his expertise in log analysis technologies. His innovative work is pivotal to enhancing data processing capabilities within the company, and he continues to focus on improving user experiences through effective solutions.

Collaborations

At Dashbase LLC, Munk collaborates with talented colleagues, including John JianShi Wang and Kevin Hou. Together, they contribute to the development of advanced technologies and innovative solutions in the field of data management and analysis.

Conclusion

Alexander Munk stands out as a visionary inventor in the realm of remote log file analysis. His patent reflects a unique approach to enhancing local file system capabilities through the integration of remote data. With his commitment to innovation and collaboration at Dashbase LLC, Munk continues to shape the future of data processing technologies.

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