Row-level and column-level policy service

    公开(公告)号:US11244063B2

    公开(公告)日:2022-02-08

    申请号:US16005264

    申请日:2018-06-11

    Abstract: Example embodiments relate to a policy service employed to perform operations to: generate and maintain a data-set that comprises at least a column and a row that intersect at a cell; assign an access policy to a row or column of the data-set, wherein the access policy is defined by one or more access credentials required to receive access the cell that intersect with the row or column; receive a request to read the data-set from a user account, wherein the user account has an associated credential; filter the cell that intersects with the row or column of the data-set based on the access policy and the credential of the user account, in response to receiving the request from the user account; and provide the user account with access to the filtered data-set.

    SYSTEMS AND METHOD FOR AUTHENTICATING USERS OF A DATA PROCESSING PLATFORM FROM MULTIPLE IDENTITY PROVIDERS

    公开(公告)号:US20210112065A1

    公开(公告)日:2021-04-15

    申请号:US16662466

    申请日:2019-10-24

    Abstract: A system and method for authenticating users of a data processing platform stores a mapping of a unique user platform identifier to multiple user identity provider identifiers associated with multiple realms for a same user. In some examples, the method includes receiving a request from a client device to establish an access session to perform one or more actions on data of the data processing platform and receiving, from at least one of the first external identity provider of the first realm or the second external identity provider of the second realm, a user identity provider identifier associated with the request. In certain examples, the method includes granting permission to perform the one or more actions on the data of the data processing platform based at least in part on the received user identity provider identifier.

    TECHNIQUES FOR DATA EXTRACTION
    43.
    发明申请

    公开(公告)号:US20200349152A1

    公开(公告)日:2020-11-05

    申请号:US16933688

    申请日:2020-07-20

    Abstract: Computer-implemented techniques for data extraction are described. The techniques include a method and system for retrieving an extraction job specification, wherein the extraction job specification comprises a source repository identifier that identifies a source repository comprising a plurality of data records; a data recipient identifier that identifies a data recipient; and a schedule that indicates a timing of when to retrieve the plurality of data records. The method and system further include retrieving the plurality of data records from the source repository based on the schedule, creating an extraction transaction from the plurality of data records, wherein the extraction transaction comprises a subset of the plurality of data records and metadata, and sending the extraction transaction to the data recipient.

    Interactive user interface for dynamic data analysis exploration and query processing

    公开(公告)号:US10678783B2

    公开(公告)日:2020-06-09

    申请号:US16197136

    申请日:2018-11-20

    Abstract: The systems and methods described herein provide highly dynamic and interactive data analysis user interfaces which enable data analysts to quickly and efficiently explore large volume data sources. In particular, a data analysis system, such as described herein, may provide features to enable the data analyst to investigate large volumes of data over many different paths of analysis while maintaining detailed and retraceable steps taken by the data analyst over the course of an investigation, as captured via the data analyst's queries and user interaction with the user interfaces provided by the data analysis system. Data analysis paths may involve exploration of high volume data sets, such as Internet proxy data, which may include trillions of rows of data. The data analyst may pursue a data analysis path that involves, among other things, applying filters, joining to other tables in a database, viewing interactive data visualizations, and so on.

    USER INTERFACE BASED VARIABLE MACHINE MODELING

    公开(公告)号:US20200050329A1

    公开(公告)日:2020-02-13

    申请号:US16660603

    申请日:2019-10-22

    Abstract: In various example embodiments, a comparative modeling system is configured to receive selections of a data set, a transform scheme, and one or more machine-learning algorithms. In response to a selection of the one or more machine-learning algorithms, the comparative modeling system determines parameters within the one or more machine-learning algorithms. The comparative modeling system generates a plurality of models for the one or more machine-learning algorithms, determines comparison metric values for the plurality of models, and causes presentation of the comparison metric values for the plurality of models.

    User interface based variable machine modeling

    公开(公告)号:US10552002B1

    公开(公告)日:2020-02-04

    申请号:US15655408

    申请日:2017-07-20

    Abstract: In various example embodiments, a comparative modeling system is configured to receive selections of a data set, a transform scheme, and one or more machine-learning algorithms. In response to a selection of the one or more machine-learning algorithms, the comparative modeling system determines parameters within the one or more machine-learning algorithms. The comparative modeling system generates a plurality of models for the one or more machine-learning algorithms, determines comparison metric values for the plurality of models, and causes presentation of the comparison metric values for the plurality of models.

    Module assignment management
    49.
    发明授权

    公开(公告)号:US10409641B1

    公开(公告)日:2019-09-10

    申请号:US16250829

    申请日:2019-01-17

    Abstract: Systems, methods, and non-transitory computer readable media are provided for managing assignment of modules. A job from a client may be received. The job may be inserted into a job queue. The job within the job queue may be compared with a set of cooldown modules to determine whether a compatible cooldown module is available. The job may be assigned to the compatible cooldown module responsive to the compatible cooldown module being available.

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