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公开(公告)号：US10983904B1
公开(公告)日：2021-04-20
申请号：US16675739
申请日：2019-11-06
发明人： Arun Sundararaman , Uday Kumar Ramamoorthy , Sureshkumar Pargunarajan , Haripriya Srinivasan , Tharani Dhanasekaran
IPC分类号： G06F11/36
摘要： A test automation platform may receive a test case for testing a data ingestion pipeline. The test automation platform may determine a test intent of the test case using a test intent identification model. The test automation platform may determine a type of entity associated with the data ingestion pipeline that the test case is to test using a test entity identification model. The test automation platform may generate a prediction of a data ingestion scenario for which the test case is to be applied based at least in part on the test intent of the test and the type of entity. The test automation platform may generate a mapping file representing the prediction of the data ingestion scenario. The test automation platform may execute, using test cases of the mapping file, a set of tests on a new data ingestion pipeline.
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公开(公告)号：US10810223B2
公开(公告)日：2020-10-20
申请号：US16008602
申请日：2018-06-14
摘要： A data platform may receive data files from an electronic data interchange (EDI). The data files may be received in multiple different data formats. The data platform may convert the data files to a common data format, extract data elements from the data files converted to the common data format, and assign the data elements extracted from the data files to file identifiers. The data platform may assign the data elements extracted from the data files to attribute identifiers that identify types of data represented by the data elements, aggregate the data elements to create a standardized data set, and map the data elements in the standardized data set to functions. The data platform may generate values based on mapping the data elements to the functions, determine a metric based on combining the values according to a metric definition, and post the metric to the EDI for consumption.
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公开(公告)号：US11232365B2
公开(公告)日：2022-01-25
申请号：US16659968
申请日：2019-10-22
发明人： Arun Sundararaman , Uday Kumar Ramamoorthy , Sureshkumar Pargunarajan , Sangeetha Appusamy , A. Deni Xavier Gladis
IPC分类号： G06F16/2452 , G06F16/25 , G06F16/242 , G06F16/248 , G06F40/284 , G06N5/04 , G06N20/00 , G16H10/60
摘要： A digital assistant platform may receive a query relating to a target data file. The target data file may be associated with a standardized data set. The standardized data set may include data files that are aggregated based on data elements associated with the data files, and may be configured to enable a plurality of services. The digital assistant platform may extract, based on the query, one or more keywords, and identify an intent classification and an entity associated with the query. The digital assistant platform may analyze the plurality of services to identify a target service to enable, and analyze the data elements to identify the target data file. The digital assistant platform may determine, using the target service, analytical information associated with a data element of the target data file, and generate a response to the query based on the analytical information.
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公开(公告)号：US12124805B2
公开(公告)日：2024-10-22
申请号：US16908051
申请日：2020-06-22
发明人： Sureshkumar Pargunarajan , Haripriya Srinivasan , Tharani Dhanasekaran , Arunselvan Sivamani , Aravind Raja M Balasubramanian , Arun Sundararaman , Uday Kumar Ramamoorthy
CPC分类号： G06F40/30 , G06F16/258
摘要： A device may receive a data input that is associated with an event. The device may parse the data input to identify an input value that is associated with the event. The device may determine a probability that the input value corresponds to a feature of the event based on a configuration of the input value. The device may classify the input value as being associated with an element of the event based on the probability. The device may determine a rule profile of the input value based on the feature and the element. The device may determine a profile score associated with the data input based on the rule profile. The device may ingest, based on the profile score, the data input into a data structure. The device may determine a validation score based on a random factorization analysis of the rule profile and the input value.
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公开(公告)号：US20190384849A1
公开(公告)日：2019-12-19
申请号：US16008602
申请日：2018-06-14
摘要： A data platform may receive data files from an electronic data interchange (EDI). The data files may be received in multiple different data formats. The data platform may convert the data files to a common data format, extract data elements from the data files converted to the common data format, and assign the data elements extracted from the data files to file identifiers. The data platform may assign the data elements extracted from the data files to attribute identifiers that identify types of data represented by the data elements, aggregate the data elements to create a standardized data set, and map the data elements in the standardized data set to functions. The data platform may generate values based on mapping the data elements to the functions, determine a metric based on combining the values according to a metric definition, and post the metric to the EDI for consumption.
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