DEVICE, SYSTEM AND METHOD FOR REDUCING BANDWIDTH USAGE BY PERFORMING PROVIDER OBJECT ADJUSTMENTS AT AN INTERMEDIATION SERVER BASED ON HISTORICAL DATA

    公开(公告)号:US20240184776A1

    公开(公告)日:2024-06-06

    申请号:US18072806

    申请日:2022-12-01

    Applicant: AMADEUS S.A.S.

    CPC classification number: G06F16/2393 G06F16/219 G06F16/235

    Abstract: A device, system and method for reducing bandwidth usage by performing provider object adjustments at an intermediation server based on historical data is provided. A computing device (e.g. an intermediation server): maintains historical provider object data representing differences between provider objects generated by a provider system/systems according to first and second standard types; receives, from a client device, a request for a provider object representing at least one item provided by a provider system; retrieves, from one or more memories, the provider object generated according to the first standard type; adjusts, the provider object, generated according to the first standard type, based on the historical provider object data, such that the adjusted provider object, includes estimates of information provided by the provider system when the provider system generates the provider objects according to the second standard type; and provides, to the client device, the adjusted provider object.

    QUERY EXECUTION USING MATERIALIZED TABLES
    7.
    发明公开

    公开(公告)号:US20230401199A1

    公开(公告)日:2023-12-14

    申请号:US18353317

    申请日:2023-07-17

    Applicant: Snowflake Inc.

    CPC classification number: G06F16/2393 G06F11/3419

    Abstract: A method includes retrieving a plurality of materialized tables (MTs). Each of the plurality of MTs includes a lag duration and refers to a corresponding base table of a plurality of base tables. The lag duration indicates a maximum time period that a result of a prior refresh of a query on the corresponding base table can lag behind a current time instance. A plurality of time instances for the MT is determined based on the lag duration and a number of prior refreshes of the corresponding base table. A plurality of aligned time instances for the plurality of MTs is determined based on the plurality of time instances for each of the plurality of MTs. Refresh operations are scheduled for the plurality of MTs at one or more of the plurality of aligned time instances that are within the maximum time period.

    SYSTEMS AND METHODS FOR DATA AGGREGATION AND POST PROCESSING USING MICROSERVICES

    公开(公告)号:US20230169606A1

    公开(公告)日:2023-06-01

    申请号:US17457211

    申请日:2021-12-01

    CPC classification number: G06Q40/12 G06F16/2393 G06F16/2358

    Abstract: Systems and methods for data aggregation and post processing using microservices are disclosed. In accordance with embodiments, a method may include providing a data microservice; sourcing, by the data microservice, data from a data source; formatting the data into tabular data; storing the tabular data in random access memory; exposing, via an endpoint of the data microservice, the tabular data; providing a view microservice, wherein the view microservice formats received data in a predefined format; requesting, by the view microservice, the tabular data from the data microservice; formatting, by the view microservice, the tabular data in the predefined format; and exposing, by the view microservice and as an endpoint of the view microservice, the tabular data formatted in the predefined format.

    METHODS, MEDIUMS, AND SYSTEMS FOR UPLOADING AND VISUALIZING DATA IN AN ANALYTICAL ECOSYSTEM

    公开(公告)号:US20230161743A1

    公开(公告)日:2023-05-25

    申请号:US18052305

    申请日:2022-11-03

    CPC classification number: G06F16/214 G06F16/254 G06F16/2393 G16C20/80

    Abstract: Exemplary embodiments provide computer-implemented methods, mediums, and apparatuses configured to upload data stored in a data storage ecosystem to a cloud-based storage service. A database in the data storage ecosystem may store results sets from an analytical chemistry system. The results sets may be stored in a first model structure implemented by a library structure. An uploader may incorporate the library structure and may include logic to use the library structure to transform the results sets from first model structure into a second model structure suitable for use in a relational data store in the cloud-based storage system. By implementing the library structure in the uploader, the uploader can be decoupled from the data storage ecosystem. This allows the uploader to function without some of the overhead used by the data ecosystem, provide faster data uploads, and to automatically generate derived information for the results sets.

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