Abstract: A method of identifying relevant keywords from a document is disclosed. The method includes splitting text of the document into a plurality of keyword samples, such that each of the plurality of keyword samples comprises a predefined number of keywords extracted in a sequence. Further, each pair of adjacent keyword samples in the plurality of samples includes a plurality of common words. The method further includes determining a relevancy score for each of the plurality of keyword samples based on at least one of a trained Convolution Neural Network (CNN) model and a keyword repository. The method further includes classifying keywords from each of the plurality of keyword samples as relevant keywords or non-relevant keywords based on the relevancy score determined for each of the plurality of keyword samples.

Abstract: Techniques involve: in response to a first session for asynchronous snapshot replication being established between a first source device and a destination device, determining whether the first source device and the destination device have a common baseline snapshot. Such techniques further involve: in response to determining absence of the baseline snapshot, determining whether initial synchronization from a second source device to the destination device is completed. Such techniques further involve: replicating, based on a result of the determining, at least one user snapshot at the first source device to the destination device. Accordingly, duplicated user snapshots at the destination device are significantly reduced. The snapshot management and space utilization of the destination device are also improved.

Abstract: System and method embodiments are provided for using different storage formats for a primary database and its replicas in a database managed replication (DMR) system. As such, the advantages of both formats can be combined with suitable design complexity and implementation. In an embodiment, data is arranged in a sequence of rows and stored in a first storage format at the primary database. The data arranged in the sequence of rows is also stored in a second storage format at the replica database. The sequence of rows is determined according to the first storage format or the second storage format. The first storage format is a row store (RS) and the second storage format is a column store (CS), or vice versa. In an embodiment, the sequence of rows is determined to improve compression efficiency at the CS.

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: Techniques for patching metadata content in a base repository are disclosed. Techniques can include customizing, by a computer including a processor and a memory, metadata content in an existing base repository, consolidating the metadata content customized in the existing base repository into a consolidated customization file, obtaining a new version of a base repository, transforming the metadata content in the consolidated customization file in accordance with the new version of the base repository and applying the transformed metadata content to the new version of the base repository. Transformation can be performed in response to metadata content being renamed, recreated and deleted.

Abstract: Embodiments include systems and methods for performing data migration using source database classification. Information about source databases can be received from a source system, including source hardware types and processor information for the source databases. Each of the source databases can be classified to one of a plurality of predetermined database sizes based on the received information. The source system can be interrogated to derive information about the source databases, such as a processor utilization per database. Characteristics of the classified database sizes can be adjusted based on the derived information and resource requirements at a target system for the classified source databases can be determined. A shape for the target databases can be generated based on the resource requirements, the shape including target databases of predetermined database sizes implemented by target hardware, where the target databases are configured to receive migration data from the source databases.

Abstract: A system provides a way to scan protected electronic data via database schema collection. In particular, the system may comprise a database schema collection application which may aggregate physical database schema from all of the databases within the network environment. The system may further comprise a protected data scan application which may receive scan results from the database schema collection (e.g., by scanning metadata) and subsequently output the scan results to other applications and/or repositories. The protected data scan application may further report changes in database schema to account for new values and/or categories existing within the various databases.

Abstract: An apparatus configured for database access control. The apparatus includes a memory and a processor coupled to the memory, wherein the processor is configured to execute instructions. The instructions include receiving a statement requesting access for a user to data files stored in a non-transitory memory medium; parsing the statement into one or more arguments, wherein each argument ends with a logical operator; computing a skip count for each of the arguments; evaluating the statement using the skip counts to determine whether the access should be granted to the user; retrieving the data files from the non-transitory memory medium; and sending the data files to the user, if the access is granted.

Abstract: Methods, systems, and media for generating a group of media content items are provided. In some embodiments, the method comprises: receiving, from a server, a plurality of media content items; storing, on a user device, the plurality of media content items; determining, by the user device, whether to request a clustering of the plurality of media content items; in response to determining that a request for clustering the plurality of media content items is to be made, transmitting the request to the server, wherein the request includes indications of the plurality of media content items; receiving, from the server, a plurality of clusters corresponding to the plurality of media content items; and causing indications of the plurality of media content items to be presented in a user interface on the user device, wherein the indications of the plurality of media content items are organized based on the plurality of clusters.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving a dataset having a data format into a dataset ingestion controller configured to form a collaborative dataset, interpreting data of the dataset against data classifications at an inference engine to derive at least an inferred attribute, associating the data with annotative data identifying the inferred attribute, and converting the dataset at a format converter to form an atomized dataset.

Abstract: The disclosed technology addresses the need in the art for a content management system that can be highly flexible to the needs of its subjects. The present technology permits any object to be shared by providing a robust and flexible access control list mechanism. The present technology utilizes a data structure that is highly efficient that both minimizes the amount of information that needs to be written into any database, but also allows for fast reads and writes of information from authoritative tables that are a source of truth for the content management system, while allowing for maintenance of indexes containing more refined data that allow for efficient retrieval of certain information that would normally need to be calculated when it is needed.

Abstract: In order to facilitate dynamic graphing of entity networks based on activity, systems and methods include a processor receiving entity-specific data records and a plurality of entity-related activity records for a plurality of entities, where each entity-specific activity record includes activity data regarding at least one activity associated with an entity. The processor generates graph nodes for an entity activity graph based on the plurality of entity-specific data records, where each graph node of the plurality of graph nodes represents the particular entity and then generating an activity data structure, including the graph nodes and edges between the graph nodes, where the edges represent characteristics of the activities between graph nodes based on the entity-related activity record.

Abstract: Techniques and solutions are described for determining relationships in data with improved efficiency, including computing resource use. A plurality of attributes are selected for analysis. The attributes can be processed, such as to facilitate relationship determination. Relationships between attribute values are determined. Redundant relationships can be removed. Distances are determined between relationships and used to select a sample of relationships. The sample is labelled by a user and used to train a machine learning classifier. The machine learning classifier labels determined relationships.

Abstract: A mechanism is provided for re-ranking search results based on a personal medical condition. One or more medical conditions associated with a patient are identified based on an analysis of patient information associated with the patient. The one or more medical conditions are correlated with a set of medical condition content indicator data structures. A search query corresponding to the patient is processed to generate initial search results that are ranked with an initial ranking. The initial search results are analyzed based on a patient specific dictionary data structure corresponding to the one or more medical conditions associated with the patient. The content of the initial search results are re-ranked to generate re-ranked search results having a modified ranking that is based on the one or more medical conditions of the patient. The re-ranked search results are output to the patient in accordance with the modified ranking.

Abstract: Methods and systems to sample event messages are described. As event messages are generated by one or more sources, the event messages are stored in a storage queue. An event message policy that represents conditions for storing event messages in a sample log file are input. For each event message output from the storage queue, the event message may be stored in a sample log file when one or more of the conditions of the event message policy are satisfied. The event messages of the sample log file may be displayed in a graphical user interface that enables a user to change the event message policy.

Abstract: A multi-table data validation tool is run following migration of data from a source database to a target database. The multi-table data validation tool extracts data from source and target locations into memory, transforms data and masks confidential data as needed, then performs two types of data comparison, including row count and data content comparison. Result files of each comparison are available to the migration team, enabling updates and improvements to the migration tools. The multi-table data validation tool may further be used to extract requested data from either the source database or the target database. The multi-table data validation tool may be dockerized as a container for ease of deployment in different environments.

Abstract: Methods, systems, and computer-readable storage media for range queries over encrypted data include actions of receiving a range query token, determining one or more of whether a tree list of an encrypted search index is empty and a range of the token intersects with a range accounted of a tree in the tree list, the encrypted search index including the tree list and a point list, receiving encrypted query results based on one of a search tree, if the tree list is not empty and a range of the token is at least a sub-range of a range accounted for in the tree list, and the point list, if the tree list is empty or the range of the token is not at least a sub-range of a range accounted for in the tree list, and updating the encrypted search index based on the token.

Abstract: Systems, methods, and non-transitory computer readable media are provided for providing a redundancy tool for performing transactions. A transaction to be performed on a data stored in a database may be received. A timestamp may be assigned to the transaction. A lock may be assigned on the timestamp. The transaction may be performed on the data. The lock may be refreshed while performing the transaction on the data. A validity of the lock may be checked at after performing the transaction on the data. Responsive to the lock being valid, a result of performing the transaction on the data may be committed.

Abstract: Techniques are provided for creating a unified data model for entities in components of an access management system. A method can include identifying an entity of a component, identifying a first attribute metadata for the entity, creating a data type for the first attribute metadata of the entity, defining the entity in accordance with the created data type, and storing the defined entity in a unified storage.

Abstract: In a distributed processing system having multiple processing nodes including alive nodes and dead nodes, a method is provided for collecting an object from the alive nodes. The method includes maintaining a separate count value for each of remote nodes at which the object is remotely-referenced. The method further includes collecting the object for garbage collection when the separate count value for all of the remotes nodes is zero. The method also includes adding at least one per node sending counter responsive to a remote reference of the object being sent from a first remote node to a particular one of the remote nodes. The at least one per node sending counter is added at the first remote node to count a number of remote-references of the object being sent to the particular one of the remote nodes.