-
公开(公告)号：US10860299B2
公开(公告)日：2020-12-08
申请号：US16384691
申请日：2019-04-15
Applicant: Palantir Technologies Inc.
Inventor： Robert Fink , Matthew Cheah , Mingyu Kim , Lynn Cuthriell , Divyanshu Arora , Justin Uang , Jared Newman , Jakob Juelich , Kevin Chen , Mark Elliot , Michael Nazario
Abstract: Data transformation in a distributed system of applications and data repositories is described. The subsystems for the overall framework are distributed, thereby allowing for customization to require only isolated changes to one or more subsystems. In one embodiment, a source code repository is used to receive and store source code. A build subsystem can retrieve source code from the source code repository and build it, using one or more criteria. By building the source code, the build subsystem can generate an artifact, which is executable code, such as a JAR or SQL file. Likewise, by building the source code, the build subsystem can generate one or more job specifications for executing the executable code. In one embodiment, the artifact and job specification may be used to launch an application server in a cluster. The application server can then receive data transformation instructions and execute the data transformation instructions.
-
公开(公告)号：US20230185546A1
公开(公告)日：2023-06-15
申请号：US18165780
申请日：2023-02-07
Applicant: Palantir Technologies Inc.
Inventor： Robert Fink , Matthew Cheah , Mingyu Kim , Lynn Cuthriell , Divyanshu Arora , Justin Uang , Jared Newman , Jakob Juelich , Kevin Chen , Mark Elliot , Michael Nazario
Abstract: A computer-implemented method comprises obtaining a first build task for building first source code in a first programming language of a plurality of programming languages; retrieving, by the processor, the first source code based on the first build task; building the first source code into one or more artifacts and one or more job specifications; storing the one or more artifacts in a cache shared across a cluster; and initializing an application module on the cluster based on the first programming language, the application module configured to receive a job specification of the one or more job specifications and execute a data transformation job using a reference to a location in the cache.
-
Patent Agency Ranking
公开(公告)号：US10261763B2
公开(公告)日：2019-04-16
申请号：US15839680
申请日：2017-12-12
Applicant: Palantir Technologies Inc.
Inventor： Robert Fink , Matthew Cheah , Mingyu Kim , Lynn Cuthriell , Divyanshu Arora , Justin Uang , Jared Newman , Jakob Juelich , Kevin Chen , Mark Elliot , Michael Nazario
Abstract: Data transformation in a distributed system of applications and data repositories is described. The subsystems for the overall framework are distributed, thereby allowing for customization to require only isolated changes to one or more subsystems. In one embodiment, a source code repository is used to receive and store source code. A build subsystem can retrieve source code from the source code repository and build it, using one or more criteria. By building the source code, the build subsystem can generate an artifact, which is executable code, such as a JAR or SQL file. Likewise, by building the source code, the build subsystem can generate one or more job specifications for executing the executable code. In one embodiment, the artifact and job specification may be used to launch an application server in a cluster. The application server can then receive data transformation instructions and execute the data transformation instructions.
-
公开(公告)号：US11573776B1
公开(公告)日：2023-02-07
申请号：US17091912
申请日：2020-11-06
Applicant: Palantir Technologies Inc.
Inventor： Robert Fink , Matthew Cheah , Mingyu Kim , Lynn Cuthriell , Divyanshu Arora , Justin Uang , Jared Newman , Jakob Juelich , Kevin Chen , Mark Elliot , Michael Nazario
Abstract: Data transformation in a distributed system of applications and data repositories is described. The subsystems for the overall framework are distributed, thereby allowing for customization to require only isolated changes to one or more subsystems. In one embodiment, a source code repository is used to receive and store source code. A build subsystem can retrieve source code from the source code repository and build it, using one or more criteria. By building the source code, the build subsystem can generate an artifact, which is executable code, such as a JAR or SQL file. Likewise, by building the source code, the build subsystem can generate one or more job specifications for executing the executable code. In one embodiment, the artifact and job specification may be used to launch an application server in a cluster. The application server can then receive data transformation instructions and execute the data transformation instructions.
-
公开(公告)号：US12061884B2
公开(公告)日：2024-08-13
申请号：US18165780
申请日：2023-02-07
Applicant: Palantir Technologies Inc.
Inventor： Robert Fink , Matthew Cheah , Mingyu Kim , Lynn Cuthriell , Divyanshu Arora , Justin Uang , Jared Newman , Jakob Juelich , Kevin Chen , Mark Elliot , Michael Nazario
Abstract: A computer-implemented method comprises obtaining a first build task for building first source code in a first programming language of a plurality of programming languages; retrieving, by the processor, the first source code based on the first build task; building the first source code into one or more artifacts and one or more job specifications; storing the one or more artifacts in a cache shared across a cluster; and initializing an application module on the cluster based on the first programming language, the application module configured to receive a job specification of the one or more job specifications and execute a data transformation job using a reference to a location in the cache.
-
公开(公告)号：US20230306030A1
公开(公告)日：2023-09-28
申请号：US18190585
申请日：2023-03-27
Applicant: Palantir Technologies Inc.
Inventor： Hannah Korus , Kevin Chen , Tushar Narayan , Thomas Playford
IPC: G06F16/2455 , G06F16/2457
CPC classification number: G06F16/24564 , G06F16/2457
Abstract: A computer system is disclosed that provides classification-based access controls at the dataset row-level. The system may perform operations including: ingesting a dataset, wherein the dataset comprises a table of rows and columns; determining a column of the table that includes permissions information; applying parsing rules to the column to determine, for each row of the table, a list of permissions markings; receiving, from a user, a request to access the dataset; and in response to receiving the request: determining a permissions policy associated with the user; determining an evaluated policy associated with the user based on the permissions policy; filtering the table based on applying the evaluated policy associated with the user to the permissions markings of each row of the table; and providing the user access to the filtered table.
-
公开(公告)号：US20180165072A1
公开(公告)日：2018-06-14
申请号：US15839680
申请日：2017-12-12
Applicant: Palantir Technologies Inc.
Inventor： Robert Fink , Matthew Cheah , Mingyu Kim , Lynn Cuthriell , Divyanshu Arora , Justin Uang , Jared Newman , Jakob Juelich , Kevin Chen , Mark Elliot , Michael Nazario
Abstract: Data transformation in a distributed system of applications and data repositories is described. The subsystems for the overall framework are distributed, thereby allowing for customization to require only isolated changes to one or more subsystems. In one embodiment, a source code repository is used to receive and store source code. A build subsystem can retrieve source code from the source code repository and build it, using one or more criteria. By building the source code, the build subsystem can generate an artifact, which is executable code, such as a JAR or SQL file. Likewise, by building the source code, the build subsystem can generate one or more job specifications for executing the executable code. In one embodiment, the artifact and job specification may be used to launch an application server in a cluster. The application server can then receive data transformation instructions and execute the data transformation instructions.
-
-
-
-
-
-
Search Results
7
records
(took 0.016 seconds)
