Abstract: This disclosure describes one or more implementations of a data verification system that provides accurate validations of user trait data for data providers. For example, in various implementations, the data verification system generates and utilizes data verification models and approaches to determine the probability that user trait data obtained by data providers is accurate and correct. In this manner, the data verification system can independently evaluate the accuracy of both individual user records as well as collective segments of user records for data providers.

Abstract: Examples may include container index persistent item tags. Examples may store chunk signatures in at least one container index and, for each chunk signature, store at least one persistent item tag identifying a respective backup item that references or formerly referenced the chunk signature. Examples may determine that all chunks formerly referenced by a backup item have been erased based on the persistent item tags in the at least one container index and output an indication that the backup item has been erased.

Abstract: Embodiments of the present invention relate to methods, systems, and computer program products for managing a plurality of live comments. A plurality of live comments is obtained for a video, the plurality of live comments being associated with a plurality of fragments in the video, respectively. A plurality of features are extracted from the plurality of live comments, respectively. A knowledge base is generated for the plurality of live comments based on the plurality of features. With these embodiments, the live comments may be managed in an effective way. Further, the knowledge base may provide answers to a user query.

Abstract: Aspects and features relate to computationally reducing the size or complexity of a database in order to improve the speed and efficiency with which such a database is processed by a computing system in order to identify investigators for clinical trials. In some aspects, a processing device performs operations including identifying data sources for geographically clustered data containing corresponding descriptors for database records. The operations further include formatting the corresponding descriptors to produce standardized, corresponding descriptors, and matching each standardized, corresponding descriptor to produce a record score for the descriptor. The record scores can be combined to produce an overall score for each database record and the database record can be selected and written to the data store based on the overall score.

Abstract: A computer identifies, within a hierarchical database, data elements associated with a selected function associated with the database, comprising. The computer identifies at least one function associated with a hierarchical database containing data elements. The computer, in response to identifying the function, identifies within a list of indica, at least one reference indicia corresponding to the at least one function. The computer identifies within a monolithic application relevant code elements associated with the reference indicia. The computer generates an activity log associated with execution of the relevant code elements. The computer identifies, within the activity log, a group of data elements associated with the execution of the relevant code elements. The computer generates a group data element clusters using a Machine Learning algorithm. The computer identifies at least one of the group of data element clusters as relevant to the at least one function.

Abstract: A system and method are presented for customizing a software application for a target market. A request to access an application is received, by one or more computer servers, from a user. At least one of a preferred language of the user and a location of the user are determined by the one or more computer servers, and a target market is determined using the at least one of the preferred language of the user and the location of the user. The target market defines a language and a region. The application is rendered by the one or more computer servers by modifying at least one of a user interface of the application and a content of the application using the target market.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for declarative and unified data transition. In some embodiments, a computer implemented method includes determining a unified configuration for a knowledge domain. The unified configuration can include one or more predicates for one or more system objects, and/or one or more relationships between the one or more system objects. The method can include generating one or more transformation rules based on the one or more predicates. The one or more transformations can enable transformation of input data. The input data can include information associated with the one or more system objects and/or the one or more relationships between the one or more system objects. The method can include generating one or more reconciliation rules based on the one or more predicates.

Abstract: Embodiments include systems and methods for performing data migration using database consolidation. Information and parameters about a plurality of source databases from a source system can be stored, the parameters including a location, a security zone, and processor information for the source databases. Each of the plurality of source databases can be classified to one of a plurality of predetermined database sizes based on the stored information and parameters, wherein the classifying is at least based on the processor information. The classified source databases can be mapped to target database hardware based on the classified sizes and the stored parameters, wherein the target database hardware is segmented into containers that are defined by one or more of the parameters. Data from the source databases can be migrated to the target database hardware based on the mappings.

Abstract: A method of implementing sub-table replication starts with the processor detecting an update to an entitlements table. The processor performs filtering of a data table based on the update to the entitlements table. The data table including an entitlements column. The processor detects an update to the entitlements column and performs incremental replication of the data table by causing a version-based replication to be executed. Other embodiments are also described herein.

Abstract: A method and system of correlating annotations of media files. A first media file is received from a first media recording device. A file record for the first media file is created in the file table. A determination is made whether the first media file belongs to an existing matter group. Upon determining that the first media file belongs to an existing matter group: the file record is related with the existing matter group in the file table; annotations of the first media file that are flagged to be shared, are related to all media files of the existing matter group; and annotations of all the media files of the existing matter group to the first media file are related. Upon determining that the first media file does not belong to an existing matter group, a new matter group is created for the first media file in the matter table of the central server.

Abstract: A node includes storage that stores a portion of high accessibility data corresponding to a shard that is divided into revisions. The portion of the high accessibility data is managed based on an activity state model including a writing state, a resolving state, a metadata update state, and a reading state. The node further includes a repository manager that obtains a cross-shard read request for the high accessibility data; makes a determination that the portion of the high accessibility data is not in the reading state; in response to the determination, adds the cross-shard read request to a delayed action queue at the revision of a last delayed action in the delayed action queue; and after processing the last delayed action in the delayed action queue and while in the resolving state: converts the cross-shard read request to a read request; and processes the read request.

Abstract: Embodiments for managing metadata in a high density network attached storage system. A change file list is obtained though external or internal crawler processes. A slicer creates multiple slices of the entire fileshare to enable parallel backup of the slices. A backup engine creates a separate backup containers and separate metadata files for each slice. The individual metadata files are combined into a single consolidated metadata file, and the individual metadata files are then deleted. The consolidated metadata file contains all of the elements comprising the entire fileshare, and a corresponding container ID is also added to each entry of the file. Another table contains details of the sub-assets and their backup properties. A backup agent obtains the backup IDs for the individual sub-assets, using a job ID field for a backup query operating on the single consolidated metadata file.

Abstract: A syntax-based ranking technique is provided that ranks search results from multiple source code files in an order that considers the relevance of each matched term with a corresponding code type and the relevance of the type of file that contains the matched term. Boost values are provided for each code type of a matched term in order to weigh certain occurrences of the matched term with more relevance. Boost values are provided for each type of file that contains the matched term in order to weigh the occurrence of the term in a particular file with more relevance.

Abstract: Embodiments of the present disclosure include a computer-implemented method, a computer program product, and a system for storing data based, at least partially, on the deduplication rates of a storage system within a storage environment. The computer-implemented method includes receiving data to be stored in a storage environment, computing a hash for the received data, and querying storage deduplication agents for statuses of storage systems within the storage environment. The computer-implemented method also includes receiving deduplication rates and hash tables relating to the storage systems from the storage deduplication agents. The computer-implemented method further includes analyzing stored data stored on the storage systems using the deduplication rates and the hash tables and comparing the stored data to the received data.

Abstract: The present teaching relates to streaming data querying and providing query results. In one example, a query is received for events happening after receipt of the query. A plurality of data records are obtained, where each of the data records corresponds to an event happening after receipt of the query. For each of the plurality of data records, it is determined whether the data record matches the query. Based on the determining, one or more query results are determined and provided as a response to the query.

Abstract: The system ensures database validity by obtaining a data structure representing data processing blocks and a data flow among the data processing blocks. A first data processing block includes a first data input and the second data processing block includes a second data output. The system obtains controls associated with the data structure, where a first control corresponds to the first data output, and a second control corresponds to the second data input. The system obtains data to be processed by the first data processing block, processes the data through the first data processing block, and executes the first control based on the processed data. Based on the execution, the system determines whether the processed data satisfies the first control. If the processed data does not satisfy the first control, the system generates an alert indicating a problem with the output data validity.

Abstract: An intelligent data management system leverages heterogeneous database technologies and cloud technology to manage data for reservoir simulations across the lifetime of a corresponding energy asset(s) and facilitates access of that data by various consumers despite changing compute platforms and adoption of open source paradigms. The intelligent data management system identifies the various data units that constitute a reservoir simulation output for storage and organization. The intelligent data management system organizes the constituent data units across a file system and object database based on correspondence with different simulation run attributes: project, study, and model. The intelligent data management system also learns to specify or guide configuration of simulation runs.

Abstract: Methods, apparatuses and computer program products implement embodiments of the present invention that include capturing a series of point-in-time images of a database including one or more tables, each of the tables including one or more fields. Upon receiving, from a user, a query with respect to a variation of a given field over a specified period of time, the point-in-time images are analyzed in order to extract the variation; and the extracted variation is presented to the user.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for query categorization based on image results. In one aspect, a method includes receiving images from image results responsive to a query, wherein each of the images is associated with an order in the image results and respective user behavior data for the image as a search result for the first query, and associating one or more of the first images with a plurality of annotations based on analysis of the selected first images' content.

Abstract: An object-backed block-based storage system may store data blocks in a block cache in a non-relational database and data block objects in an object data store. Access requests for a particular data block may be received at a storage protocol target that are formatted according to a network-based storage protocol. Translated access requests formatted according to respective programmatic interfaces may be generated and sent to the non-relational database or to the object data store in order to access the particular data block. A response indicating success or failure of the access request may be sent.