Abstract: The disclosure herein describes writing data to a log-structured merge (LSM) tree file system on an object storage platform. Write data instructions indicating data for writing to the LSM tree file system are received. Based on the received instructions, the data is written to the first data cache. Based on an instruction to transfer data in the live data cache to the LSM tree file system, the first data cache is converted to a stable cache. A second data cache configured as a live data cache is then generated based on cloning the first data cache. The data in the first data cache is then written to the LSM tree file system. Use of a stable cache and a cloned live data cache enables parallel writing data to the file system by the stable cache and handling write data instructions by the live data cache.

Abstract: Techniques are disclosed for textual analysis. In an example, a text analysis application constructs a discourse tree that represents rhetorical relationships between fragments of text. The application matches each fragment that has a verb to a verb signature, thereby creating a communicative discourse tree. The application identifies, in the communicative discourse tree, a terminal node including a nucleus elementary discourse unit, which is dominant to a corresponding satellite elementary discourse unit. The application extracts, from the communicative discourse tree, a particular verb signature corresponding to the nucleus elementary discourse unit. The application determines a subject from the verb signature and forms a question fragment from the subject.

Abstract: In accordance with embodiments, there are provided techniques for managing functionality changes of a database platform of a service provider. The techniques facilitate implementing changes to the database platform while minimizing work flow reductions to users of the database platform. To that end, one embodiment of the present invention delays implementation of the changes for a duration of time to provide users of the database platform an opportunity to adjust behavioral interaction with the database platform. In accordance with another embodiment of the present invention, users may implement the functional changes to determine any adverse impact on work flow, before the functional changes become permanent. In another embodiment, the users may be afforded an opportunity to selectively enable and disable the functionality changes before the duration of time expires.

Abstract: A multi-tenant system, comprises a main storage system including: a monolithic database storing global records associated with global objects, each global object including global fields common for all tenants; a monolithic application configured to process a particular global record storage request by instructing the monolithic database to store particular global field values of the particular global record for a particular tenant, and to process a particular global record fetch request by instructing the monolithic database to retrieve the one or more particular global field values; a custom object storage system including: a custom object database configured to store custom records associated with one or more custom objects, each custom object including one or more custom fields for a tenant; a custom object record service configured to process a particular custom record storage request by instructing the custom object database to store one or more particular custom field values for the tenant, and to proce

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: 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: 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: 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 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: 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: 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: 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: 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.