Device and method for preparing data

    公开(公告)号:US12130843B2

    公开(公告)日:2024-10-29

    申请号:US18263852

    申请日:2022-01-27

    CPC classification number: G06F16/285 G06F16/211

    Abstract: Various embodiments of the teachings herein include a computer-aided method for transforming data in a relational database, containing sensor measurements, into RDF data blocks of a graph database. The method may include: providing a R2RML mapping file; breaking down and converting the data using the mapping file and a first mapping parser; generating a generation of RDF data blocks; and storing the generation as a database. After the data have been broken down and converted, checking a quality of the obtained R2RML mapping and creating a second R2RML mapping file, on the basis of which the relational data are broken down and converted into RDF data blocks. The second R2RML mapping, during the preparation of the relational data into RDF data blocks, automatically stops the processing of relational data that are not to be resolved and thus optimizes the energy efficiency of the preparation.

    Data analytic systems
    4.
    发明授权

    公开(公告)号:US12105682B2

    公开(公告)日:2024-10-01

    申请号:US18488826

    申请日:2023-10-17

    Abstract: A method comprises receiving, at a build service of a build server, an external dataset and an adaptor application module, the external dataset being in a specific format, the adaptor application module providing information relevant to a build pipeline maintained by the build service for building an output dataset based on the external dataset, the information including changes to the external dataset since a previous build of the output dataset is performed and a data schema used in the previous build, the build pipeline involving data only in one or more formats other than the specific format; incorporating the external dataset into the build pipeline without the external dataset being reformatted in accordance with requirements of the build service; receiving a request from the adaptor application module for specific information relating to a most recent data build run by the build service; providing a response to the adaptor application module.

    Processing large machine learning datasets

    公开(公告)号:US12086112B2

    公开(公告)日:2024-09-10

    申请号:US17014179

    申请日:2020-09-08

    CPC classification number: G06F16/211 G06F16/2282 G06N20/00

    Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can receive, by a computing device, a request to access a datapoint of a machine learning dataset contained in a database. Embodiments of the present invention can access, by the computing device, a virtual data frame that includes a schema which represents a structure of the machine learning dataset in the database. Embodiments of the present invention can retrieve, by the computing device, the datapoint of the machine learning utilizing the virtual data frame and return, by the computing device, the retrieved datapoint in response to the request.

    APPARATUSES, COMPUTER PROGRAM PRODUCTS, AND COMPUTER-IMPLEMENTED METHODS FOR INTEGRATING THIRD-PARTY DEVICES

    公开(公告)号:US20240296167A1

    公开(公告)日:2024-09-05

    申请号:US18176898

    申请日:2023-03-01

    CPC classification number: G06F16/252 G06F16/211

    Abstract: Embodiments of the disclosure provide for improved integration of third-party devices in a system. Specifically, embodiments provide for improved integration management, including creation, deployment, maintenance, and monitoring of integrations utilizing integration templates. Embodiments include operation using a specially configured templating system that enables creation of integration template(s), management of integration template(s), searching of integration template(s), and initiation of such integration template(s) into integration instance(s) for particular client system(s), as well as updating of integration instance(s) based on integration template(s). Some embodiments provide dashboard(s) for accessing and/or managing integration instance(s) or associated information. Some example embodiments receive template information of source schema data, target schema data, and template transformation data, generate an integration template based at least in part on the template information, enable a client system to access at least the integration template via the templating system, and initiate an integration instance based on the integration template.

    Systems, methods, and media for accessing derivative properties from a post relational database utilizing a logical schema instruction that includes a base object identifier

    公开(公告)号:US12079179B2

    公开(公告)日:2024-09-03

    申请号:US18077486

    申请日:2022-12-08

    Inventor: Affan Khan

    CPC classification number: G06F16/211 G06F16/285

    Abstract: Techniques are provided for accessing derivative properties from a database utilizing a logical schema instruction that includes a base object identifier. A logical schema instruction may be received and analyzed to identify a predefined keyword. A portion of the logical schema instruction, that is located in relation to the predefined keyword, may be identified. The portion may include a base object identifier and a property identifier, e.g., a derivative property identifier. In an embodiment, the identified portion of the logical instruction is not translated to a database schema instruction at prepare time. Instead, an extract function is executed at runtime access and analyze a database table that corresponds to a base object associated with the base class identifier. A property in the database table that corresponds to the property identifier may be identified. Advantageously, a base object identifier may be utilized to access a derivative property.

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