Abstract: Systems and methods including determining and storing a respective user-defined weight value of each of a plurality of source playlists, and, in response to receiving a real time user request to play a user-defined mixed playlist (UDMP), performing real time dynamic playback of the UDMP based on the stored weight values. The method and system may be related to streaming media services, such as audio and/or video streaming media services.

Abstract: Systems and methods are disclosed for generating messages in a cloud platform. One method comprises storing a collection of audio files and destination information identifying location information corresponding to plurality of different geographic locations where a plurality of edge devices are located and grammar information including language-specific rules, receiving messages from one or more of a plurality of requesting devices, the messages including a first type of message and a second type of message, generating an action list, determining an available time slot at a first geographic location of a first edge device when the first edge device is available to render an announcement, retrieving, using the grammar information associated with the second type of destination information included in the action list, an audio file from the collection of audio files stored; and transmitting the audio file and the action list to the first edge device to render an announcement.

Abstract: A system and a method for locating application-specific data that has been previously deleted and located in an address of the data storage device marked as being available for storing new data. The method includes accessing unidentified data from at least one data storage device; examining the unidentified data to detect at least one application-specific data pattern associated with at least one application; for each detected application-specific data pattern, executing an application-specific validation process to determine whether the unidentified data includes valid data associated with a corresponding application; and if it is determined that the unidentified data includes valid data associated with the corresponding application, then recovering the valid data.

Abstract: A device may receive, in near-real time, unstructured data associated with an application or a system, and may extract textual data from the unstructured data. The device may parse the textual data to generate parsed textual data, and may perform natural language processing on the parsed textual data to generate processed textual data. The device may process the processed textual data, with a clustering model, to identify topical data associated with the processed textual data, and may process the topical data, with a classification model, to group the topical data into categories. The device may generate a knowledge graph based on the categories, and may store the knowledge graph in a data structure. The knowledge graph may enable the device to provide answers to questions associated with the application or the system.

Abstract: Systems, methods, and devices for sharing materialized views in multiple tenant database systems. A method includes defining a materialized view over a source table that is associated with a first account of a multiple tenant database. The method includes defining cross-account access rights to the materialized view to a second account such that that second account can read the materialized view without copying the materialized view. The method includes modifying the source table for the materialized view. The method includes identifying whether the materialized view is stale with respect to the source table by merging the materialized view and the source table.

Abstract: A field extraction template simplifies the creation of field extraction rules by providing a user with a set of field names commonly assigned to a certain type of data, as well as guidance on how to extract values for those fields. These field extraction rules, in turn, facilitate access to certain “chunks” of the data, or to information derived from those chunks, through named fields. A field extraction template comprises at least a set of field names and ordering data for the field names. The ordering data indicates index positions that are associated with at least some of the field names. A delimiter is specified for splitting data items into arrays of chunks. The chunk of a data item that belongs to a given field name is the chunk whose position within the item's array of chunks is equivalent to the index position associated with the given field name.

Abstract: Described herein are systems, methods, and non-transitory computer readable media for constructing and utilizing vehicle field-of-view (FOV) information. The FOV information can be utilized in connection with vehicle localization such as localization of an autonomous vehicle (AV), sensor data fusion, or the like. A customized computing machine can be provided that is configured to construct and utilize the FOV information. The customized computing machine can utilize the FOV information, and more specifically, FOV semantics data included therein to manage various data and execution patterns relating to processing performed in connection with operation of an AV such as, for example, data prefetch operations, reordering of sensor data input streams, and allocation of data processing among multiple processing cores.

Abstract: Systems, methods, and media for identifying content are provided. In some implementations, systems for identifying content are provided, the systems comprising: at least one hardware processor that: receives content having audio; generates a representation of the audio of the content; performs a first database search based on the representation; performs a second database search based on text corresponding to words that are sung or spoken in the content; responsive to determining that the first database search yielded a match and the second database search yielded a match, causes a first indication that the content contains a known performance of known content to be output; and responsive to determining that the first database search failed to yield a match and the second database search yielded a match, causes a second indication that the content contains an unknown performance of known content to be output.

Abstract: Methods, computer program products, and computer systems for the classification of unstructured data items are disclosed. Such methods, computer program products, and computer systems include ingesting an item into a classification engine, performing term processing on one or more terms of the item, and processing a relational similarity index. The classification engine is implemented in the computer system. The relational similarity index represents a similarity of the item to a reference item, and the relational similarity index is determined using the one or more terms.

Abstract: A system includes a multi-layer throughput optimization (TPO) stack to generate a token containing prescriptions for rightsizing database service throughput.

Abstract: A method for communicating data includes interfacing different data sources to stand-alone software agents customized for the different data sources. The method also providing selected source data to the stand-alone software agents to generate first-stage data feeds in a neutral format in accordance with the customization. The selected source data is dynamically selected from within the data sources, and transformed into the first-stage data feeds in the neutral format. The stand-alone software agents send the first-stage data feeds to an aggregation agent. The aggregation agent generates for a user and based on specified criteria, a second-stage output as a composite of selected source data from the first-stage data feeds.

Abstract: Disclosed herein are systems and methods for performing a geospatial-function join using an implied interval join. In an embodiment, a database platform receives a query that includes a geospatial-function join, which applies a geospatial-function predicate to a first geography data object of a first relation and a second geography data object of a second relation. The database platform processes the first and second relations through an interval join that applies an interval-join predicate that is implied by the geospatial-function predicate. The database platform obtains query results at least in part by implementing a filter that applies the geospatial-function predicate to an output of the interval join, and outputs the query results.

Abstract: Resource management includes storing, for multiple workload pools of a data intake and query system, a workload pool hierarchy arranged in multiple workload pool layers. After storing a processing request is assigned a selected subset of workload pools in a second layer of the workload pool hierarchy based on a type of processing request. The processing request is then assigned to an individual workload pool in the selected subset to obtain a selected workload pool. Execution of the processing request is initiated on the selected workload pool.

Abstract: A method and a system for ranking search results using a machine learning algorithm (MLA), the MLA having been trained to determine query similarity based on textual content thereof, comprising: receiving a new query, retrieving a plurality of search queries, computing a respective similarity parameter between the new query and each query of the plurality of search queries, selecting a given past query associated with a highest respective similarity parameter, retrieving a set of search results associated with the given past query, each of the set of search results being associated with an annotation including respective search queries, and computing for each respective one of the plurality of respective search queries having been used to access the respective search result, a respective second similarity parameter, and using the respective second similarity parameter as a ranking feature for ranking the associated search results as search results for the new query.

Abstract: Technologies are described for facilitating the processing of requests for database operations within a database environment that includes one or more processing units and a memory. A utilization level of one or more computing resources of a database system is periodically determined. When a request for a database operation is received from a database client, it is determined, such as based on the utilization level, whether the database system has sufficient resources to process the request. If the database system does not have sufficient resources to process the request, the request is enqueued in a request queue for deferred execution. If it is later determined that the database system has sufficient resources to execute the request, the request can be dequeued, executed, and execution results returned to the database client.

Abstract: In one aspect, a computerized method for managing tombstones in a node of a Distributed Database Base System (DDBS) includes the step of providing a rule that, for a namespace in a record of the node of the DDBS that allows expiration, mandates that a later generation's expiration time of the namespace never decreases. The computerized method includes the step of determining that an administrator of the DDBS has set an expiration time of the namespace to infinity. The computerized method includes the step of implementing a background process of the DDBS, wherein the background process scans a DDBS node's drive and flags a set of extant tombstones that are no longer covering viable namespaces or viable records. The computerized method includes the step of deleting all the flagged tombstones.

Abstract: In accordance with an embodiment, described herein are systems and methods for enabling multiple parents with weights in a multidimensional database. An exemplary system can comprise a computer that includes one or more microprocessors, and a multidimensional database server executing on the computer, wherein the multidimensional database server supports at least one hierarchical structure of data dimensions. A data dimension can comprises a plurality of members, a first set of members being a first level, and a second set of members being at a second level. A member of the second set of members at the second level can comprises two or more member-member relationships with two or more members of the first set of members at the first level. Each of the two or more member-member relationships are associated with a weight.

Abstract: A method for facilitating the testing of a data sample involves a computing device carrying out the following actions: displaying a data sample on a user interface; receiving, via the user interface, a selection of a test to be performed on the data sample; receiving, via the user interface, an input of a result of the test; generating, in a graph database, a vertex representing a visual indicator corresponding to the input result; and creating, in the graph database, an association between the vertex representing the visual indicator and a vertex representing a file containing the displayed data sample.

Abstract: Disclosed are various examples of integrating multiple domains within a directory service. A computing device retrieves a first list of members in a first group of users for the domain from a first directory service for a first domain. The computing device then determines that a second group of users is a member of the first group of users, wherein the second group of users corresponds to a second domain. The computing device then retrieves a second list of members in the second group of users from a second directory service for a second domain. The computing device subsequently compares the first list of members in the first group of users and the second list of members in the second group of users with a third list of members in a third group of users, wherein the third list of members in the third group of users corresponds to a user list maintained by the application.

Abstract: A search and data analysis collaboration system is described. The search and data analysis collaboration system enables users to search for and process stored data, and further includes a home page component that can help guide users embarking on data analyses; a discovery component that enables users to discover what data is available for search and analysis; a search component that enables users to efficiently search accessible data and to iterate on search queries and corresponding results; a workbooks component that enables users to create aggregated collections of data analysis artifacts; and an actions component that enables users to configure various actions to be performed in response to analyses.