Abstract: Technologies for performing stochastic similarity searches in an online clustering space include a device having a column addressable memory and circuitry. The circuitry is configured to determine a Hamming distance from a binary dimensionally expanded vector to each cluster of a set of clusters of binary dimensionally expanded vectors in the memory, identify the cluster having the smallest Hamming distance from the binary dimensionally expanded vector, determine whether the identified cluster satisfies a target size, and add or delete, in response to a determination that the identified cluster does not satisfy the target size, the binary dimensionally expanded vector to or from the identified cluster.

Abstract: In one embodiment, a method includes receiving, from a client system, a text input comprising one or more n-grams, determining, using a deep-learning model, a vector representation of the text input based on the one or more n-grams, determining an embedding of the vector representation of the text input in a d-dimensional embedding space, identifying one or more labels based on, for each of the one or more labels, a respective similarity of an embedding of a vector representation of the label in the embedding space to the embedding of the vector representation of the text input, and sending, to the client system in response to the received text input, instructions for presenting a user interface comprising one or more of the identified labels as suggested labels.

Abstract: Examples disclosed herein involve data stream analytics. In examples herein, a data stream may be analyzed by computing a set of hashes of a real-valued vector, the real-valued vector corresponding to a sample data object of a data stream; generating a list of data objects from a database corresponding to the sample data object based on the set of hashes, the list of data objects ordered based on similarity of the data objects to the sample data object of the data stream; and updating a data structure representative of activity of the sample data object in the data stream based on the list of data objects, the data structure to provide incremental analysis corresponding to the sample data object.

Abstract: A database replication system comprises a plurality of replica data nodes and a master data node. The master data node is configured with an acknowledgement requirement that comprises an acknowledgement threshold that is less than a total number of data nodes in a plurality of data nodes. The master data node is configured to send, to the plurality of replica data nodes, a transaction log record that includes an update to data in the master database that has not been committed to the master database, receive acknowledgements of the transaction log records and based on a determination that the received acknowledgements of the transaction log record meet the acknowledgement requirement, set the transaction log record as a master node last acknowledged transaction log record in a master node transaction log. The last acknowledged transaction log record can be used to control recovery.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product structured for generating resource identification strings to avoid electronic misreads. In some embodiments, the system is structured for generating a new technology resource string of characters, comparing the new string to existing technology resource strings, and determining whether the new string is the same as an existing string. The system is also structured for, in response to determining it is not, for each existing string, pairing characters of the strings and determining whether the strings have at least a threshold number of matching character pairs; if there are, for at least one of the existing strings, determining whether characters of the non-matching pairs are commonly misread characters and determining whether there are a threshold combination of matching/commonly misread pairs; and if there are, discard the new string and generate a second new technology resource string.

Abstract: A selection of content from a content presentation is received. At least one topic from the selected content is extracted using natural language processing (NLP). The at least one topic is representative of a subject conveyed within the selected content. At least one perspective associated with the at least one topic is extracted using NLP. The at least one perspective is representative of a point of view conveyed within the selected content regarding the at least one topic. A topic rating of the extracted topics and associated perspectives is determined based upon the extracted topics and associated perspectives. The topic rating is representative of a topic diversity among the extracted topics and associated perspectives. The topic rating is presented within a graphical user interface (GUI).

Abstract: Object scriptability methods and system are described herein. The method includes generating a graph-based data structure including a plurality of nodes, where each node from the plurality of nodes represents a respective data-analysis object in a data analysis system, where each node from the plurality of nodes is connected to at least one other node from the plurality of nodes by an edge, where the edge represents a relationship between the respective objects in the data analysis system, and where generating the graph-based data structure includes receiving a high-level language script describing at least one data-analysis object, and generating at least one node from the plurality of nodes in accordance with the high-level language script.

Abstract: Embodiments of the disclosure provide systems and methods for identifying hierarchically related files stored in a database. According to one embodiment, this can be accomplished using a pipeline of worker applications which each use a specific table stored in the database 35 and a sequence or series of queues. Generally speaking, each worker application can read a message identifying tasks to be performed from one queue in the sequence of queues, perform those tasks using the appropriate table from the database to identify a set of files, and write one or more messages to a subsequent queue in the sequence or series of queues to pass results and/or further tasks to be performed to a subsequent worker application in the pipeline of worker applications.

Abstract: This document describes techniques and devices for a refined search with machine learning. These techniques improve computer-aided searches through enabling selection of search criteria used in a prior search and providing a refined search result based on that selection. Furthermore, a machine-learning component of a search engine can be altered to improve future search results based on the selection and an indication of the desirability of the refined search result.

Abstract: An analytics engine is described that can receive data associated with use of a content item in a content management system and measure and measure a use of content management system resources required to maintain the content item. Values of a usage metric can be assigned to the content item based on the received data associated with the use of the content item. A database schema can be generated by the analytics engine that is configured to reduce the use of content management system resources required to maintain the content item. The database schema can be provided to the content management system for implementation in a database associated with the content management system.

Abstract: An automated command assistance tool is provided for a browser-enabled command line interface of a cloud service. The automated command assistance tool provides examples illustrating the correct syntax for commands used to manage the resources of a cloud service. The command assistance tool learns the syntax of a command from usage patterns found in telemetric data, scripts and user documentation and forms templates containing a command's usage pattern and related information. The templates are used to generate examples that respond to a user query for assistance with usage of a particular command.

Abstract: A data management system includes a data reconciliation engine that identifies data sources that contain data records referencing a resource and determines whether each of the identified data sources is a creative data source or an additive data source. When all of the identified data sources are additive data sources, the reconciliation engine terminates a data reconciliation process. When all of the identified data sources are not additive data sources, the reconciliation engine finds a first creative data source from among the identified data sources, and initiates the data reconciliation process by merging data from the identified data sources including the first creative data source, one data source-by-one data source, into a reconciled data record.

Abstract: Herein are techniques for automatically leveraging metadata of an analytic view to accelerate a relational query. In an embodiment, a computer stores model metadata that defines an analytic view that contains a join operation that is based on a dimension column of a dimension table and a join column of a fact table. The analytic view also contains a measure that is based on an aggregation operation and a measure column of the fact table. Also stored is denormalization metadata that defines a transparency view that is based on the analytic view. In operation, a query that references the transparency view is received. The query does not reference the analytic view. The query that references the transparency view is executed based on: a) the denormalization metadata that defines the transparency view, b) the model metadata that defines the analytic view, and c) the measure that is based on the aggregation operation and the measure column of the fact table.

Abstract: An embodiment relates to a computer-implemented data processing system and method for storing a data set at a plurality of data centers. The data centers and hosts within the data centers may, for example, be organized according to a multi-tiered ring arrangement. A hashing arrangement may be used to implement the ring arrangement to select the data centers and hosts where the writing and reading of the data sets occurs. Version histories may also be written and read at the hosts and may be used to evaluate causal relationships between the data sets after the reading occurs.

Abstract: Crux detection in search definition sets is provided herein. Crux detection can include generating a hierarchical representation of a search definition set. The hierarchical representation can be reduced by removing search definitions unrelated to a target search definition. The search definitions in the reduced hierarchical representation can be focused by removing inapplicable elements or operations in the search definitions. Focusing the search definitions in the reduced hierarchical representation can include removing context-irrelevant elements and/or removing search-definition-irrelevant elements. The focused reduced hierarchical representation can be analyzed to identify implementation cruxes in the search definitions. Cruxes can include performance-impacting elements of the search definitions. The cruxes can be tagged and provided for redevelopment or analysis.

Abstract: A process for recommending pre-constructed queries in data analytics includes writing different records to a correlation data structure correlating different data classifications of data to different queries and, subsequent to the writing, establishing a communicative connection by a data analytics application to an underlying database. Thereafter, a data model for data in the database may be constructed in the data analytics application and at least one of the different queries may be selected in the correlation data structure that correlates to the classification of the data in the data model. Finally, the selected one of the different queries may be displayed in the data analytics application to an end user so as to provide an intelligent recommendation for the addition of the selected one of the different queries without requiring the end user to alone and without assistance discover the suitability of the selected one of the different queries.

Abstract: A system and method for partitioned snapshot creation of caches in a distributed data grid is provided. The system and method enables a snapshot to be created in a running system without quiescing a cache service. Moreover for each particular partition, execution of read/write requests are not blocked during the period that a snapshot creation task is being performed for the particular partition. The cache service thread continues to execute read requests for all partitions with write requests for the partition under snapshot experiencing delayed response. The system and method reduces the period of time for which partitions are unavailable during a snapshot process and increases the availability of cache services provided by a distributed data grid compared to prior snapshot systems.

Abstract: A method, system and computer program product for forecasting a storage requirement of a database management system (DBMS). The storage-related operations (e.g., create, delete, update) of the applications connected to the DBMS are monitored. The impact on the storage usage of the DBMS based on these storage-related operations performed by the applications is monitored. Furthermore, the applications are categorized into groups of applications based on the monitored storage-related operations. A mathematical model is then built to forecast the storage requirement of the DBMS based on the monitored impact on the storage usage of the DBMS by the monitored storage-related operations of the applications and the categorization of the applications. The storage requirement of the DBMS is then forecasted based on the built mathematical model. In this manner, the storage requirements of the DBMS may be accurately predicted to ensure that there is available storage thereby preventing performance degradation.

Abstract: A method includes extracting variable length strings from text data, associating the extracted strings with indexes in an indexing structure that maintain identifiers for instances of the strings in the text data, selecting a set of the strings having corresponding indexes whose size exceeds a threshold size value, and determining whether to merge a first index corresponding to a first string with a second index corresponding to a second string, the second string being a sub string of the first string, wherein the determination is based at least in part on a comparison of a first size of the first index and a second size of the second index. The method further includes merging the first index with the second index to create a merged index in the indexing structure responsive to the determination, and processing queries to the text data utilizing the indexing structure with the merged index.

Abstract: The invention relates to a platform and a method of connecting a blockchain engine to a traditional database. The platform according to the invention is implemented in the form of a network of nodes, said network of nodes being divided into at least two subnets: a security subnet and a data subnet, all nodes in the security subnet containing information on security keys user licenses, operating licenses, access policies, and other information related to the licensing, authentication, and authorization mechanism of users accessing the platform, and where nodes in at least one data subnet comprise a software component that uses a network computer, an API communication interface that allows interaction with the computer network and retrieval of information to be saved in the storage system, a GraphQL data query interface, a data processing engine, a blockchain engine, a connection interface between the data processing and blockchain engine, and a database.