Abstract: A database export system exports data using a plurality of nodes that process the data to generate structured result files that are partitioned by an export parameter in an export request. The database export system distributes the data and merges the files to avoid small file creation and increase processing speed via parallelism. The database export system generates the result files of a specified maximum size in a final format, where the files are processed merged in a temporary file format. The parallel processing is optimized and constrained per the amount of processing nodes, available memory, requested final file sizes, and operation based ordering to complete data exports in a scalable multi-stage approach.

Abstract: A mechanism for storing indexing updates is described. A secondary storage system is configured to store a backup of a primary storage system. A plurality of different indexing updates of a data repository associated with the secondary storage system is received. An indexing update may include metadata and/or updates to the metadata for a data item in the backup. The indexing updates may be obtained from an indexing process. At least a portion of the indexing updates are sent for storage in an intermediate store. An indication to commit the indexing updates is received. In response, the indexing updates including the at least the portion of the indexing updates are requested to be committed. The indexing updates batched together into a batch to be committed to a metadata store.

Abstract: A method and system for expressive conversion of more expressive metadata to less expressive metadata while maintaining lossless conversion including receiving a request for a second system metadata, retrieving a first system metadata, generating the second system metadata in response to the request for the second system metadata and the first system metadata wherein the second system metadata includes a first subset of the first system metadata, generating a site metadata mapping in response to the second system metadata and the first system metadata wherein the site metadata mapping includes a second subset of the first system metadata not included in the second subset of the first system metadata, storing the site metadata mapping in a memory, and transmitting the second system metadata to a client application.

Abstract: A system and method matches data from a first set of data with that of an other set of data.

Abstract: One embodiment provides a method, including: receiving a ranked listing of a plurality of candidates; within a first one of a plurality of collaboration rounds: (i) aggregating the ranked listings into an overall listing, (ii) presenting the overall listing to a first one of the job candidate matching agents, and (iii) receiving at least one modification to the overall listing from the agents; (iv) presenting a version of the overall listing to each of the remaining agents; and (v) receiving any modifications from the agents until all of the agents have had a turn; conducting others of the plurality of collaboration rounds: (i) presenting a version of the overall listing and (ii) receiving any modifications from the agents; (iii) presenting a version of the overall listing to each of the remaining agents, and (iv) receiving any modifications from the agents; and providing the final version to a user.

Abstract: Provided are a computer program product, system, and method for switching serialization techniques for handling concurrent write requests to a shared file. A first node serializes write requests from client nodes to write to the shared file. The first node determines whether to switch to a second node to manage write quests to the shared file based on a pattern of write requests to the shared file. The client nodes are notified to direct write requests to the shared file to the second node in response to determining to switch to the second node. The second node processes write requests to the shared file to serialize writes to the shared file after the client nodes are notified to submit the write requests to the shared file to the second node.

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: Methods, apparatus, and processor-readable storage media for efficient synchronization of a cloud enabled file system database during a snapshot restore operation are provided herein. An example computer-implemented method includes intercepting a user request to initiate a snapshot restore operation on a file system associated with a local storage system, wherein the file system comprises one or more stub files that are indicative of locations of cloud objects comprising files that were previously sent from the local storage system to a cloud storage platform; prior to the snapshot restore operation being performed, creating a current snapshot of the file system; obtaining an indication that the file system was successfully restored on the local storage system; and using the current snapshot to perform a synchronization operation, wherein the synchronization operation deletes one or more orphan cloud objects in the cloud storage platform that resulted from the snapshot restore operation.

Abstract: An identification of a new primary snapshot created for a primary storage system is received. A threshold time window based on a capture time associated with the new primary snapshot is determined. Entries of a storage log of the primary storage system occurring within the threshold time window are analyzed to identify any objects of the primary storage system that have changed during the threshold time window. Changed objects to capture in a new secondary backup stored at a secondary storage system and corresponding to the new primary snapshot are identified. Metadata of the new primary snapshot and metadata of a previous secondary backup are compared to determine for each of the objects of the primary storage system identified as having changed during the threshold time window whether a change to an object since the previous secondary backup is captured in the new primary snapshot.

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: Systems and methods are described herein for causing to be provided contextual information for a content item. The system identifies that a subject in a content item is currently being referenced and determines whether consumption of the content item could be enhanced based on the referenced subject. For example, the system identifies a king being discussed by characters in a television series and determines the king was referenced three months ago. The system determines, based on the last time the subject was referenced, whether to provide contextual information about the subject. Using the determined three-month lapse in time since the king was last referenced, the system determines that contextual information about the king should be provided. Accordingly, the system causes to be displayed the contextual information within closed captioning after determining contextual information should be provided.

Abstract: System and methods are described for generating recommendations from dynamically-mapped data. In one implementation, a database system receives a first request to generate a recommendation objection and a second request to retrieve additional data to include in the recommendation object. The database system retrieves the recommendation data from a first database table. The database system identifies the additional data in a second database table that is stored separately from the first database table. The database system generates the recommendation object to include the recommendation data from the first database, and maps the additional data to one or more fields of the recommendation object.

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: Techniques for query execution against relational databases using connection pooling are described. According to some embodiments, a query processing service is disclosed that enables users to execute queries against target relational databases implemented by a relational database service. The service receives query requests originated by a client application at a web service endpoint and identifies a connection to a particular target database. In some examples, the query request is a Hyper Text Transfer Protocol (HTTP) message comprising a query to be executed by a target database instance within the provider network. The service transmits the query for execution at the target database via the connection and obtains a query result based on the execution of the query. The service transforms the query result into a format suitable for the client and transmits a query response to the client.

Abstract: An embodiment of the present invention is directed to financial transaction ecosystems. A transaction processing ecosystem comprises: a plurality of data sources; a capture interface; and a financial transaction processing system comprising a message bus and a plurality of processors interfacing with the message bus and configured to perform: receiving, via the capture interface, raw data for a payment transaction, wherein the raw data comprises client instructions; normalizing, via the capture interface, the raw data into a normalized transaction format based on a standard data model; publishing, via the capture interface, the normalized transaction format to a message bus; processing, via a first processor of the plurality of processors, the normalized transaction format; and completing the transaction.

Abstract: Disclosed herein are systems and methods for intelligent metadata management and data lineage tracing. In exemplary embodiments of the present disclosure, a data element can be traced throughout multiple applications, platforms, and technologies present in an enterprise to determine how and where the specific data element is utilized. The data element is traced via a hierarchical key that defines it using metadata. In this way, metadata is interpreted and used to trace data lineage from one end of an enterprise to another.

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 for playing music includes identifying a plurality of users of a corresponding plurality of electronic devices that are currently located within a selected area, retrieving music listening data for the plurality of users, building a playlist for the selected area based on the music listening data, filtering the playlist according to at least one host preference to produce a filtered playlist, and playing the filtered playlist within the selected area. The selected area may be a geo-fenced area. Examples of host preferences include genre, artist, tempo, mood and demographic. The playlist may include songs that are commonly selected by the plurality of users or conform to genres commonly preferred by the plurality of users. A corresponding system and computer program product for executing the above method are also disclosed herein.