Abstract: An apparatus for generating a spatial recommendation is disclosed. The apparatus includes at least a processor and a memory connected to the processor. The processor is instructed to receive a user dataset comprising. The processor is instructed to receive a raw data from a plurality of sensors. The processor is instructed to identify a spatial dataset by organizing the raw data. The processor is instructed to store the spatial dataset in an index structure by implementing an indexing system as a function of the organized raw data, wherein the indexing system is further configured to dynamically adjust the index structure in response to additional raw data. The processor is instructed to determine a spatial recommendation by querying the index structure as a function of the user dataset. The processor is instructed to transmit the spatial recommendation to a remote device.

Abstract: Embodiments in the present description provide an operation request processing method and apparatus, and a device, and a readable storage medium, and a system. In the present embodiment, after obtaining an operation request for a data table, a read-write node can return a request processing completion message to a requester in time without waiting for all read-only nodes; a locking operation is performed on the data table, a log of locking the data table is written into a redo log file; and after status information of the log of locking is written into a status record, a monitoring processing process can achieve log playback monitoring of all the read-only nodes by using the status record and the log of locking. Thus, an asynchronous processing mechanism is achieved, and the stability and efficiency of operation request execution are improved.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for determining a confidence factor for a sensitive type. The method includes applying a set of matching procedures to cells in a structured data set, the structured data set comprising columns and/or rows. The method also includes counting hit counts for the cells, the hit counts corresponding to successful matches. The method also includes counting null counts for the cells, the null counts corresponding to cells having null or invalid values. The method also includes counting mishit counts for the cells, the mishit counts corresponding to cells that are not null and do not result in a match. The method also includes calculating the confidence factor based on the hit counts, the null counts, and the mishit counts, the confidence factor providing an effective probability that cells in the structured data set is of the sensitive type.

Abstract: Recent developments in machine learning (commonly coined “artificial intelligence” or “AI”) have vastly expanded applications for this technology, such as myriad “chat” agents adept at understanding natural human language. While state of the art generative models can parse text queries from a user and provide comprehensive, accurate responses (including generating images depicting desired content), current implementations struggle with understanding all information present in images of documents, especially images of business documents. In particular, generative models fail to understand structured and semi-structured information, e.g., as indicated by graphical information such as lines, geometric relationships (e.g., indicated by tables, graphs, figures, etc.), formatting, and other contextual information that human readers easily and implicitly understand.

Abstract: In accordance with various embodiments, described herein is a system and method for providing a traceable push-based pipeline and monitoring of data quality in extract, transform, load or other enterprise computing environments. The system can include a combination of features including one or more of: an end-to-end push-based pipeline, which uses task-based events to trigger downstream jobs; the application of a table-of-tables or control table, by which the system can trace with detail the performance of each task and corresponding data table changes; a decoupling of pipeline components across several dimensions, for example: task, data, role, and/or time; a user interface or dashboard for monitoring pipeline health or data quality over the pipeline components and dimensions; and an orchestrator that can learn from pipeline health data and task/table changes, and identify actual or potential issues involving the pipeline, including associated root causes.

Abstract: Techniques for configuring event tables include retrieving, by at least one hardware processor of a computing node, log data at a first process of the computing node. The log data is associated with a function executing at a second process of the computing node. The log data is revised using a table stage to generate revised log data. The table stage is configured as a dedicated storage location of the first process. The revising includes a data enrichment process based on metadata associated with execution of the function at the second process. The revised log data is ingested into an event table.

Abstract: The present disclosure relates to recording and tracking a local content enrichment submission via a local content enrichment platform that leverages distributed ledger technology. The system can comprise a memory to store computer executable instructions. Also, the system can comprise one or more processors, operatively coupled to the memory, that execute the computer executable instructions to implement a blockchain layer configured to record a local content enrichment submission to a distributed ledger and track a status of the local content enrichment submission via transactions with the distributed ledger. The local content enrichment submission includes data characterizing a proposal of an entity to comply with local content regulations of a region.

Abstract: In some example embodiments, there is provided a method that includes receiving a query for query plan generation and query plan optimization; detecting whether the query plan includes a restart pipeline, the restart pipeline including one or more first operators that cause a query plan restart; detecting whether the query plan includes a result pipeline, the result pipeline including one or more second operators that provide result streaming; determining whether there is a dependency between execution of the restart pipeline and execution of the result pipeline; in response to determining there is no dependency, reordering the restart pipeline in the query plan such that the restart pipeline will be executed before the result pipeline in order to enable result streaming optimization; and providing the reordered query plan for execution. Related systems and computer program products are also provided.

Abstract: A method for recovering a data center, includes making a determination, by a cloud module, that the data center has experienced a failure; sending, by the cloud module and in response to the determination, an infrastructure file including data center infrastructure information to a client device; receiving, after sending the infrastructure file, a confirmation from the client device that at least a portion of the data center infrastructure is installed; sending, from the cloud module to the data center module, a snapshot in response to the confirmation; deploying, by the data center module, the snapshot at the data center; validating, by the data center module, complete connectivity of data center; sending, by the data center module, a heartbeat signal to the cloud module in response to the validating; and sending, by the cloud module, a standby signal to disaster recovery resources in response to receiving the heartbeat signal.

Abstract: A method for transforming data organized in tabular structure is disclosed. In some embodiments, the method includes assigning a score to each of a plurality of cells within a table based on an associated set of orthogonal features characterizing a set of data. The set of orthogonal features comprises visual features, syntactic features, and language-based features. The method further includes identifying for each of the plurality of cells, a cell type based on the assigned score. The method further includes determining a table type based on the cell type and the set of orthogonal features determined for each of the plurality of cells. The table type comprises one of a row-oriented table, a column-oriented table, or a composite table.

Abstract: One example method includes obtaining respective information concerning each asset in a group of assets, performing a deduplication check to identify an entity that will perform deduplication of backups of the assets, based on the information obtained concerning the group of assets, and based on an outcome of the deduplication check, sizing one or more proxy instances that will be needed to create the backups, spawning the proxy instances, and using the proxy instances to create the backups of the data assets.

Abstract: Database environments may choose to schedule complex analytics processing to be performed by specialized processing environments by caching source datasets or other data needed for the analytics and then outputting results back to customer datasets. It is complex to schedule user database operations, such as running dataflows, recipes, scripts, rules, or the like that may rely on output from the analytics, if the user database operations are on one schedule, while the analytics is on another schedule. User/source datasets may become out of sync and one or both environments may operate on stale data. One way to resolve this problem is to define triggers that, for example, monitor for changes to datasets (or other items of interest) by analytics or other activity and automatically run dataflows, recipes, or the like that are related to the changed datasets (or other items of interest).

Abstract: Information for selecting a food menu item based on an ingredient is provided to a user. In a user terminal device such as a smartphone, when a category is selected on an initial screen, the screen shifts to a large category screen. When “TORI-NIKU (CHICKEN)” is selected, the screen shifts to a sub-category screen. Alternatively, when “AIUEO (JAPANESE ALPHABET)” is selected on the initial screen and “TO” is selected on a character palette screen, a screen including ingredients having names each beginning with “TO” is displayed and, when “TORI-NIKU” is selected, the screen shifts to the sub-category screen. When “SASAMI (CHICKEN FILLET)” is selected on the sub-category screen, the screen shifts to a second ingredient selection screen. Under and on the right side of “SASAMI”, “SALAD HOURENSO (SPINACH)”, “ZA-SAI (PICKLED MUSTARD STEM)”, “NEGI (GREEN ONION)”, “PIMAN (GREEN PEPPER)”, and the like each as only one ingredient or a matching ingredient are displayed.

Abstract: A data structuring system that provides a user interface to enable data wrangling and modeling, and methods for making and using the same.

Abstract: An electronic device provides, to a model trained to generate synthetic queries, information corresponding to a first media content item and a first value for a parameter indicative of query specificity. The device receives, from the model trained to generate synthetic queries, a first query corresponding to the first media content item, wherein the first query is generated in accordance with the first value for the parameter indicative of query specificity. The device provides, to a client device for display at the client device, the first query and receives user selection of the first query. In response to the user selection of the first query, the device provides a first result set of media content items for the first query.

Abstract: Methods that provide dynamic index management for a set of computing storage resources are disclosed herein. One method includes collecting, by a processor, a set of current performance data for a set of storage resources storing data and implementing a set of indexes for the data stored on the set of storage resources based on an optimized performance predicted for the set of storage resources based on the collected set of current performance data and a set of predicted performance data that identifies the set of indexes. Also disclosed herein are apparatus, systems, and computer program products that can include, perform, and/or implement the methods for providing dynamic index management for a set of computing storage resources.

Abstract: A processing system manages an ordered set of hierarchical data structures representing snapshots that define the state of a filesystem at different points in time. The data structures include nodes that store strong references, which can be utilized to read or write data, or weak references that can be only utilized to read data. In order to create a new snapshot, a root node is created for a new data structure representing the new snapshot by copying the root node of the data structure representing an active view of the filesystem. Any strong references stored in the copy of the root node are then changed to weak references. Snapshotting operations can then be performed with respect to the new snapshot utilizing the weak references stored in the root node of the new data structure.

Abstract: Highly accurate document search, especially intellectual property-related document search, is achieved with a simple input method. A processing portion has a function of generating text analysis data from text data input to an input portion; a function of extracting a search word from words included in the text analysis data; and a function of generating first search data from the search word on the basis of weight dictionary data and thesaurus data. A memory portion stores second search data generated when the first search data is modified by a user. The processing portion updates the thesaurus data in accordance with the second search data.

Abstract: A system is described. The system may include a storage device, which may include storage for data and a controller to write the data to the storage and to read the data from the storage. The storage device may also include an accelerator implementing at least one operation on files stored on the storage device. These operations may be drawn from a set including a merge operation and a split operation.

Abstract: System and method for constructing a hierarchical index table usable for matching a search sequence to reference data. The index table may be constructed to contain entries associated with an exhaustive list of all subsequences of a given length, wherein each entry contains the number and locations of matches of each subsequence in the reference data. The hierarchical index table may be constructed in an iterative manner, wherein entries for each lengthened subsequence are selectively and iteratively constructed based on the number of matches being greater than each of a set of respective thresholds. The hierarchical index table may be used to search for matches between a search sequence and reference data, and to perform misfit identification and characterization upon each respective candidate match.