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    DATA SECURITY
    2.
    发明申请
    DATA SECURITY 有权

    公开(公告)号：US20210365581A1

    公开(公告)日：2021-11-25

    申请号：US17444245

    申请日：2021-08-02

    申请人： Palantir Technologies Inc.

    发明人： Samuel Szuflita ,  Alice Yu ,  Emily Wang ,  Hao Dang ,  Megha Arora ,  Nicholas Gates ,  Samuel Rogerson

    IPC分类号： G06F21/62 ,  G06F16/36 ,  G06F16/903 ,  G06F21/60 ,  G06F16/901

    摘要： A computer system is configured to receiving a data set from a data provider and automatically save the data set in a quarantine database where copying, moving, and sharing of the data set are restricted until the data set is released by a data provider. The data set is parsed to find and mark portions with potentially sensitive information. At least those parts are reviewed by a data governor, who can confirm, add, edit, or remove markers. Those parts can be visually indicated to the data governor, along with a preview of, metadata about, and analysis of the data set. After reviewing at least the automatically marked portions, the data governor can release the data set to a non-quarantine database where another user can use the data set. The user is restricted from accessing the quarantine database.

    Data security
    4.
    发明授权
    Data security 有权

    公开(公告)号：US11093634B1

    公开(公告)日：2021-08-17

    申请号：US16219504

    申请日：2018-12-13

    申请人： Palantir Technologies Inc.

    发明人： Samuel Szuflita ,  Alice Yu ,  Emily Wang ,  Hao Dang ,  Megha Arora ,  Nicholas Gates ,  Samuel Rogerson

    IPC分类号： G06F16/901 ,  G06F21/62 ,  G06F21/60 ,  G06F16/36 ,  G06F16/903

    摘要： A computer system is configured to receiving a data set from a data provider and automatically save the data set in a quarantine database where copying, moving, and sharing of the data set are restricted until the data set is released by a data provider. The data set is parsed to find and mark portions with potentially sensitive information. At least those parts are reviewed by a data governor, who can confirm, add, edit, or remove markers. Those parts can be visually indicated to the data governor, along with a preview of, metadata about, and analysis of the data set. After reviewing at least the automatically marked portions, the data governor can release the data set to a non-quarantine database where another user can use the data set. The user is restricted from accessing the quarantine database.

    Dynamically performing data processing in a data pipeline system
    5.
    发明授权
    Dynamically performing data processing in a data pipeline system 有权

    公开(公告)号：US10176217B1

    公开(公告)日：2019-01-08

    申请号：US15698574

    申请日：2017-09-07

    申请人： Palantir Technologies, Inc.

    发明人： Hao Dang ,  Gustav Brodman ,  Yi Xue ,  Stacey Milspaw ,  Yifei Huang ,  Yanran Lu

    IPC分类号： G06F17/30 ,  G06F9/455

    摘要： Techniques for automatically scheduling builds of derived datasets in a distributed database system that supports pipelined data transformations are described herein. In an embodiment, a data processing method comprises, in association with a distributed database system that implements one or more data transformation pipelines, each of the data transformation pipelines comprising at least a first dataset, a first transformation, a second derived dataset and dataset dependency and timing metadata, detecting an arrival of a new raw dataset or new derived dataset; in response to the detecting, obtaining from the dataset dependency and timing metadata a dataset subset comprising those datasets that depend on at least the new raw dataset or new derived dataset; for each member dataset in the dataset subset, determining if the member dataset has a dependency on any other dataset that is not yet arrived, and in response to determining that the member dataset does not have a dependency on any other dataset that is not yet arrived: initiating a build of a portion of the data transformation pipeline comprising the member dataset and all other datasets on which the member dataset is dependent, without waiting for arrival of other datasets.

    DYNAMICALLY PERFORMING DATA PROCESSING IN A DATA PIPELINE SYSTEM
    6.
    发明申请
    DYNAMICALLY PERFORMING DATA PROCESSING IN A DATA PIPELINE SYSTEM 审中-公开

    公开(公告)号：US20190114289A1

    公开(公告)日：2019-04-18

    申请号：US16208435

    申请日：2018-12-03

    申请人： Palantir Technologies, Inc.

    发明人： Hao Dang ,  Gustav Brodman ,  Yi Xue ,  Stacey Milspaw ,  Yifei Huang ,  Yanran Lu

    IPC分类号： G06F16/182 ,  G06F9/455

    摘要： Techniques for automatically scheduling builds of derived datasets in a distributed database system that supports pipelined data transformations are described herein. In an embodiment, a data processing method comprises, in association with a distributed database system that implements one or more data transformation pipelines, each of the data transformation pipelines comprising at least a first dataset, a first transformation, a second derived dataset and dataset dependency and timing metadata, detecting an arrival of a new raw dataset or new derived dataset; in response to the detecting, obtaining from the dataset dependency and timing metadata a dataset subset comprising those datasets that depend on at least the new raw dataset or new derived dataset; for each member dataset in the dataset subset, determining if the member dataset has a dependency on any other dataset that is not yet arrived, and in response to determining that the member dataset does not have a dependency on any other dataset that is not yet arrived: initiating a build of a portion of the data transformation pipeline comprising the member dataset and all other datasets on which the member dataset is dependent, without waiting for arrival of other datasets.

    Dynamically performing data processing in a data pipeline system
    8.
    发明授权
    Dynamically performing data processing in a data pipeline system 有权

    公开(公告)号：US11314698B2

    公开(公告)日：2022-04-26

    申请号：US16208435

    申请日：2018-12-03

    申请人： Palantir Technologies, Inc.

    发明人： Hao Dang ,  Gustav Brodman ,  Yi Xue ,  Stacey Milspaw ,  Yifei Huang ,  Yanran Lu

    IPC分类号： G06F16/182 ,  G06F16/2455 ,  G06F16/25 ,  G06F16/23 ,  G06F9/455

    摘要： Techniques for automatically scheduling builds of derived datasets in a distributed database system that supports pipelined data transformations are described herein. In an embodiment, a data processing method comprises, in association with a distributed database system that implements one or more data transformation pipelines, each of the data transformation pipelines comprising at least a first dataset, a first transformation, a second derived dataset and dataset dependency and timing metadata, detecting an arrival of a new raw dataset or new derived dataset; in response to the detecting, obtaining from the dataset dependency and timing metadata a dataset subset comprising those datasets that depend on at least the new raw dataset or new derived dataset; for each member dataset in the dataset subset, determining if the member dataset has a dependency on any other dataset that is not yet arrived, and in response to determining that the member dataset does not have a dependency on any other dataset that is not yet arrived: initiating a build of a portion of the data transformation pipeline comprising the member dataset and all other datasets on which the member dataset is dependent, without waiting for arrival of other datasets.