Company Filing History:
Years Active: 2020-2025
Title: Richard Niemi: Innovator in Data Querying and Log Management
Introduction
Richard Niemi is a prominent inventor based in Seattle, WA (US), known for his contributions to data querying and log management technologies. With a total of 8 patents to his name, Niemi has made significant strides in enhancing the efficiency and effectiveness of data handling systems.
Latest Patents
One of Richard Niemi's latest patents is titled "System and method for querying a data repository." This invention involves receiving a search request related to one or more datasets in a data repository. The search request includes a display request to show at least a portion of the datasets. In response, a searchable database is generated based on ontological data associated with the datasets. An object view of the datasets is then created and displayed on a device.
Another notable patent is "Linking related events for various devices and services in computer log files on a centralized server." This system features an interactive user interface that allows users to view and interact with sanitized log data from multiple hosts. The system filters log files to remove sensitive information before transmission, ensuring data privacy. The sanitized data is then processed for optimal searching and stored in a log pipeline, culminating in an electronic visualization interface for users.
Career Highlights
Richard Niemi is currently employed at Palantir Technologies Inc., where he continues to innovate in the field of data management. His work focuses on developing systems that enhance data accessibility and security, making significant contributions to the technology landscape.
Collaborations
Some of Richard Niemi's coworkers include Quentin Spencer-Harper and Jack Grossman, who collaborate with him on various projects at Palantir Technologies Inc.
Conclusion
Richard Niemi's innovative work in data querying and log management has established him as a key figure in the technology sector. His patents reflect a commitment to improving data systems, ensuring they are both efficient and secure.
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