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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
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.
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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
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.
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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
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.
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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
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.
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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
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.
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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
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.
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