Patents by Inventor Rosco Hill
Rosco Hill has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11392550Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.Type: GrantFiled: August 22, 2019Date of Patent: July 19, 2022Assignee: PALANTIR TECHNOLOGIES INC.Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
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Publication number: 20190384747Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.Type: ApplicationFiled: August 22, 2019Publication date: December 19, 2019Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
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Patent number: 10423582Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.Type: GrantFiled: November 28, 2017Date of Patent: September 24, 2019Assignee: Palantir Technologies, Inc.Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
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Publication number: 20180081896Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.Type: ApplicationFiled: November 28, 2017Publication date: March 22, 2018Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
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Patent number: 9852144Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.Type: GrantFiled: March 1, 2017Date of Patent: December 26, 2017Assignee: Palantir Technologies, Inc.Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
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Publication number: 20170177606Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.Type: ApplicationFiled: March 1, 2017Publication date: June 22, 2017Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
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Patent number: 9639578Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.Type: GrantFiled: December 7, 2015Date of Patent: May 2, 2017Assignee: Palantir Technologies, Inc.Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
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Publication number: 20160085817Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.Type: ApplicationFiled: December 7, 2015Publication date: March 24, 2016Inventors: GEOFFREY STOWE, CHRIS FISCHER, PAUL GEORGE, ELI BINGHAM, ROSCO HILL
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Patent number: 9208159Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.Type: GrantFiled: August 4, 2014Date of Patent: December 8, 2015Assignee: PALANTIR TECHNOLOGIES, INC.Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
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Publication number: 20140344231Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.Type: ApplicationFiled: August 4, 2014Publication date: November 20, 2014Inventors: GEOFFREY STOWE, CHRIS FISCHER, PAUL GEORGE, ELI BINGHAM, ROSCO HILL
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Patent number: 8799240Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.Type: GrantFiled: June 23, 2011Date of Patent: August 5, 2014Assignee: Palantir Technologies, Inc.Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
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Publication number: 20120330908Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.Type: ApplicationFiled: June 23, 2011Publication date: December 27, 2012Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
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Patent number: 7974849Abstract: A method is described with which to detect and model a person's temporal activity patterns from a record of the persons computer activity or online presence. The method is both predictive and descriptive of temporal features and is constructed with a minimal amount of beforehand knowledge. Activity related data is accumulated from a mechanism that is involved in the activity of a person. Significant inactivity features are identified within the activity data. These inactivity features are characterized so as to project the temporal activity of the person. Real-time activity of the person is then detected and inactivity periods are checked for likelihood of belonging to a previously characterized significant feature. The resulting information is formatted and made available to individuals having a need for the information.Type: GrantFiled: May 21, 2003Date of Patent: July 5, 2011Assignee: Oracle America, Inc.Inventors: James M. Begole, Rosco Hill