Abstract: Methods and apparatus are provided to combine responses to a plurality of user requests in a system that validates transactions. The system includes a plurality of nodes, a transaction response combiner (TRC), and a plurality of queues located in the TRC. Each queue is associated with one of the plurality of nodes. Each node executes an instance of the same application, and each node receives each one of the plurality of user requests. The application produces a response for each one of the plurality of user requests, and each response includes response details. In operation, the TRC receives a response from each of the nodes for each of the user requests. Each response is tagged with an identifier that corresponds with the respective user request. At least some of the tagged responses for one of the plurality of nodes is inserted into a queue.

Abstract: Various embodiments provide methods, systems, apparatus, computer program products, and/or the like for managing, ingesting, monitoring, updating, and/or extracting/retrieving information/data associated with an electronic record (ER) stored in an ER data store and/or accessing information/data from the ER data store, wherein the ERs are generated, updated/modified, and/or accessed via a graph-based domain ontology.

Abstract: A system includes an interface and a processor. The interface is configured to receive a table indication of a data table and to receive a transaction indication to perform a transaction. The processor is configured to determine a current position N in a transaction log; determine a current state of the metadata; determine a read set associated with a transaction; attempt to write an update to the transaction log associated with a next position N+1; in response to a transaction determination that a simultaneous transaction associated with the next position N+1 already exists, determine a set of updated files; and in response to a determination that there is not an overlap between the read set associated with the current transaction and the set of updated files associated with the simultaneous transaction, attempt to write the update to the transaction to the transaction log associated with a further position N+2.

Abstract: A non-transitory computer-readable recording medium stores an information processing program for causing a computer to execute processing including: every time a plurality of data to be managed in a data lineage indicating histories of the plurality of data are updated, storing an update date and time in association with updated data; in response to an input of a designated date and time or a designated period, based on the update date and time stored in association with each of the plurality of data, determining data updated within a predetermined period including the designated date and time or within the designated period as data of interest; and generating a partial data lineage that is a part of the data lineage and includes a display object corresponding to the data of interest.

Abstract: The subject technology receives by a database system, raw input data from a source table provided by an external environment, the source table comprising multiple rows and multiple columns, the raw input data comprising values in a first format, the values comprising input features corresponding to datasets included in the raw input data for machine learning models, the external environment comprising an external system from the database system and is accessed by different users. The subject technology generates cell data for a second table based on the values from the source table. The subject technology performs a database operation to generate the second table including table metadata, column metadata, and the generated cell data.

Abstract: The invention relates to a data processing method for preparing a dataset that includes a processor that receives a first plurality of data input streams to prepare an output dataset. The plurality of data input streams and the output dataset are different. The method includes standardizing the plurality of data input streams, encoding the normalized data, preprocessing missing data, and transmitting a preprocessed dataset. The invention further relates to a data processing system, and a recording medium on which the data processing program is recorded.

Abstract: One example method includes receiving a set of filesystem parameters, creating a simulated filesystem based on the filesystem parameters, receiving a set of target characteristics for a file collection, based on the target characteristics, slicing a datastream into a grouping of data slices, populating the simulated files with the data slices to create the file collection and forward or reverse morphing the file collection from one generation to another without rewriting the entire file collection.

Abstract: Data are maintained in a distributed computing system that describe a graph. The graph represents relationships among items. The graph has a plurality of vertices that represent the items and a plurality of edges connecting the plurality of vertices. At least one vertex of the plurality of vertices includes a set of label values indicating the at least one vertex's strength of association with a label from a set of labels. The set of labels describe possible characteristics of an item represented by the at least one vertex. At least one edge of the plurality of edges includes a set of label weights for influencing label values that traverse the at least one edge. A label propagation algorithm is executed for a plurality of the vertices in the graph in parallel for a series of synchronized iterations to propagate labels through the graph.

Abstract: Systems and methods include an application programming interface based on a first plurality of object attributes of a data structure, and a framework to update the data structure with a second one or more object attributes and associate the first object type with a first search method. The application programming interface is updated based on the updated data structure, and the framework receives attribute values and the first object type via the updated application programming interface, maps the attribute values to respective ones of the first object attributes and the second object attributes, and identifies and executes the first search method to generate a query of object instances of the first object type.

Abstract: A first stack running on a processor receives the transaction data, reference data, and context data. The reference data is independent of the transaction and of a user. The context data is associated with the user but is independent of the transaction. The first stack strips the transaction of derivable data to obtain stripped data. The derivable data includes data that can be derived from the stripped data, the context data, and the reference data. The derivable data can stream the stripped data to a global database available and redundant across multiple geographical regions. After the first stack fails, a second stack can resume the transaction by retrieving the stripped data from the global database, and retrieving the context data, and the reference data. The second stack can recreate the transaction data based on the stripped data, the context data, and the reference data, and can resume the transaction.

Abstract: Embodiments are directed to managing a data model that includes data objects associated with layers of the data model may be provided. A lineage model that includes lineage objects that has one or more lineage objects associated with a layer may be provided. A lineage object associated with a layer may be activated. A first portion data objects may be determined based on the activated lineage object. An anchor object may be determined from the first portion of data objects. A search of the data model may be employed to provide dependency information based on a position of the anchor data object in the data model. A second portion of data objects may be determined based on the dependency information. A report that includes a list of the second portion of data objects, the dependency information, or the like, may be provided.

Abstract: A system and method for searching and displaying multimedia search results is disclosed herein. An embodiment operates by determining that an interface including one or more previously saved searches is displayed, each of the previously saved searches corresponding to a set of one or more search terms. An updated plurality of search results is received for each of the previously saved searches from a remote server. A grouping of the plurality of search results for each of a plurality of different search terms is displayed across a plurality of individual time periods.

Abstract: Knowledge graphs can greatly improve the quality of content recommendation systems. There is a broad variety of knowledge graphs in the domain including clicked user-ad graphs, clicked query-ad graphs, keyword-display URL graphs etc. A hierarchical Transformer model learns entity embeddings in knowledge graphs. The model consists of two different Transformer blocks where the bottom block generates relation-dependent embeddings for the source entity and its neighbors, and the top block aggregates the outputs from the bottom block to produce the target entity embedding. To balance the information from contextual entities and the source entity itself, a masked entity model (MEM) task is combined with a link prediction task in model training.

Abstract: A query referencing an external table function provided by a remote software component is received. Requests to execute the external table function on input data are sent to a proxy service. A first request includes a batch of input rows from the input data. A first response to the first request received from the proxy service includes a first portion of result data and a pagination token. The pagination token indicates that at least a second portion of the result data corresponding to the first batch of input rows is to be obtained from the remote software component. Based on the pagination token, a second request is sent to obtain the second portion of the result data. One or more responses are received from the proxy service that comprise at least the second portion of the result data. The result data is processed according to the query.

Abstract: A method, performed by one or more processors, is disclosed, the method comprising receiving a stream of log data from one or more applications and indexing a plurality of different portions of the received stream to respective locations of a cold storage system. The method may also comprise storing, in an index, catalog pointers to the respective locations of the indexed portions in the cold storage system. One or more requests for log data may be received, and the method may also comprise subsequently identifying from the index catalog one or more pointers to respective indexed portions appropriate to at least part of the one or more requests, and sending of the identified one or more indexed portions to one or more hot storage systems each associated with a respective search node for processing of one or more search requests.

Abstract: Methods, systems, and computer program products for analyzing one or more perceived or technical problems or proposed solutions, and proposing a result are disclosed. In accordance therewith, a query is received as an input, one or more documents that are most closely semantically related to the query are retrieved, a set of concept terms derived from each of the query and the retrieved semantically related documents is obtained, a list of generic Solution Prompts, each of which generic Solution Prompt thereof includes a placeholder for insertion of a word or phrase from the set of concept terms, is provided, and a morphological analysis is applied to combine the list of generic Solution Prompts with the obtained set of concept terms to create a list of Specific Solution Prompts.

Abstract: Systems and methods are directed to a computing device for determining homogeneous groups for search queries. The computing device may generate n-grams for each search query and apply word embedding techniques to calculate representative vectors for each search query. The computing device may train a clustering algorithm using the representative vectors. The computing device may generate topic labels for each cluster and associate each search query in a cluster with the topic label for the cluster.

Abstract: A method and system are provided for classifying semi-structured documents. According to one embodiment, the method includes accessing a number of documents, and identifying in each of the documents pairs of character segments. The method also includes generating a map of unique identified segment pairs across all documents in the several documents. The method further includes generating for each of the several documents a respective feature vector based on one or more unique pair of segments in the map that are also identified in the document, and clustering the plurality of documents into a plurality of clusters, using the feature vectors.

Abstract: Various embodiments provide methods, systems, apparatus, computer program products, and/or the like for managing, ingesting, monitoring, updating, and/or extracting/retrieving information/data associated with an electronic record (ER) stored in an ER data store and/or accessing information/data from the ER data store, wherein the ERs are generated, updated/modified, and/or accessed via a graph-based domain ontology.

Abstract: A method for analyzing time series sensor data of a physical system represented by a process graph retrieves sensor data streams from stored sensor time series data. Each of the sensor data streams comprises a sequence of time-value pairs and is associated with a sensor identifier, a time offset, and a sampling period. A metric data stream is produced from the retrieved sensor data streams in accordance with a stored physics model of the physical system. Producing the metric data stream includes i) synchronizing the sensor data streams by adjusting time offsets of the sensor data streams and adding interpolated values and times to the sensor data streams to produce synchronized streams with equal sampling periods; and ii) performing a point-wise computation over values of the sensor data streams in accordance with the physics model.