公开(公告)号：US11366957B2

公开(公告)日：2022-06-21

申请号：US16557449

申请日：2019-08-30

Applicant: Palantir Technologies Inc.

Inventor： Stephanie Yu ,  Thomas Haynes

IPC: G06F40/143 ,  G06F8/34 ,  G06F40/166 ,  G06F3/0482 ,  G06F40/274

Abstract: Systems, computer storage media, and methods for real-time rendering based on efficient device and server processing of content updates. One of the methods includes presenting user interface information that includes multiple visual portions associated with input of types of code. User input of code with respect to one or more of the visual portions is received, and code input in a particular visual portion includes code to be compiled and/or imports associated with particular libraries. Rendering of the input code is caused, and the rendering is presented in an output visual portion. A system can receive the code input in the particular visual portion over a network. The system can compile the received code and package the received code with associated libraries. The system can provide the packaged code to the user device to be interpreted during rendering of the input code.

公开(公告)号：US20210209123A1

公开(公告)日：2021-07-08

申请号：US17203302

申请日：2021-03-16

Applicant: Palantir Technologies Inc.

Inventor： Gregory O'Connor ,  Samuel Fendell ,  Ethan Breder ,  William Rhyne ,  Michael Kodiak ,  Thomas Haynes

IPC: G06F16/25 ,  G06F21/56 ,  G06F3/048

Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.

公开(公告)号：US10437568B1

公开(公告)日：2019-10-08

申请号：US15672062

申请日：2017-08-08

Applicant: PALANTIR TECHNOLOGIES INC.

Inventor： Stephanie Yu ,  Thomas Haynes

IPC: G06F8/34 ,  G06F17/22 ,  G06F17/24 ,  G06F17/27 ,  G06F3/0482

Abstract: Systems, computer storage media, and methods for real-time rendering based on efficient device and server processing of content updates. One of the methods includes presenting user interface information that includes multiple visual portions associated with input of types of code. User input of code with respect to one or more of the visual portions is received, and code input in a particular visual portion includes code to be compiled and/or imports associated with particular libraries. Rendering of the input code is caused, and the rendering is presented in an output visual portion. A system can receive the code input in the particular visual portion over a network. The system can compile the received code and package the received code with associated libraries. The system can provide the packaged code to the user device to be interpreted during rendering of the input code.

公开(公告)号：US20240143617A1

公开(公告)日：2024-05-02

申请号：US18380881

申请日：2023-10-17

Applicant: Palantir Technologies Inc.

Inventor： Gregory O'Connor ,  Samuel Fendell ,  Ethan Breder ,  William Rhyne ,  Michael Kodiak ,  Thomas Haynes

IPC: G06F16/25 ,  G06F3/048 ,  G06F21/56

CPC classification number: G06F16/254 ,  G06F3/048 ,  G06F16/252 ,  G06F21/565

Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.

公开(公告)号：US11841874B2

公开(公告)日：2023-12-12

申请号：US17932832

申请日：2022-09-16

Applicant: Palantir Technologies Inc.

Inventor： Gregory O'Connor ,  Samuel Fendell ,  Ethan Breder ,  William Rhyne ,  Michael Kodiak ,  Thomas Haynes

IPC: G06F16/25 ,  G06F3/048 ,  G06F21/56

CPC classification number: G06F16/254 ,  G06F3/048 ,  G06F16/252 ,  G06F21/565

Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.

公开(公告)号：US20200065070A1

公开(公告)日：2020-02-27

申请号：US16557449

申请日：2019-08-30

Applicant: Palantir Technologies Inc.

Inventor： Stephanie Yu ,  Thomas Haynes

IPC: G06F8/34 ,  G06F17/24 ,  G06F17/22

Abstract: Systems, computer storage media, and methods for real-time rendering based on efficient device and server processing of content updates. One of the methods includes presenting user interface information that includes multiple visual portions associated with input of types of code. User input of code with respect to one or more of the visual portions is received, and code input in a particular visual portion includes code to be compiled and/or imports associated with particular libraries. Rendering of the input code is caused, and the rendering is presented in an output visual portion. A system can receive the code input in the particular visual portion over a network. The system can compile the received code and package the received code with associated libraries. The system can provide the packaged code to the user device to be interpreted during rendering of the input code.

公开(公告)号：US10977267B1

公开(公告)日：2021-04-13

申请号：US15675173

申请日：2017-08-11

Applicant: Palantir Technologies Inc.

Inventor： Gregory O'Connor ,  Samuel Fendell ,  Ethan Breder ,  William Rhyne ,  Michael Kodiak ,  Thomas Haynes

IPC: G06F16/25 ,  G06F21/56 ,  G06F3/048

Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.

公开(公告)号：US20230013821A1

公开(公告)日：2023-01-19

申请号：US17932832

申请日：2022-09-16

Applicant: Palantir Technologies Inc.

Inventor： Gregory O'Connor ,  Samuel Fendell ,  Ethan Breder ,  William Rhyne ,  Michael Kodiak ,  Thomas Haynes

IPC: G06F16/25 ,  G06F3/048 ,  G06F21/56

Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.

公开(公告)号：US11475033B2

公开(公告)日：2022-10-18

申请号：US17203302

申请日：2021-03-16

Applicant: Palantir Technologies Inc.

Inventor： Gregory O'Connor ,  Samuel Fendell ,  Ethan Breder ,  William Rhyne ,  Michael Kodiak ,  Thomas Haynes

IPC: G06F16/25 ,  G06F3/048 ,  G06F21/56

Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.