Abstract: Techniques are disclosed relating to methods that include an authentication management process, executing on a computer system, authorizing a plurality of applications to access a database, and sending one or more passcodes to the authorized applications. In response to an authentication update request, the method further includes selecting a new passcode for accessing the database, and sending, to a plurality of applications authorized to access the database, a notification that the new passcode is available. In response to a request from a particular application, the method also includes sending the new passcode to the particular application. The method further includes determining that each of the plurality of applications has retrieved the new passcode. In response to the determining, the method also includes enabling the new passcode for use by the plurality of applications for accessing the database.

Abstract: Examples of analyzing a log file are described. In an example, a log file comprising a plurality of event records is obtained from a computing device. The event records in the plurality of log files may be processed. Thereafter, an occurrence of anomaly in the log file may be ascertained.

Abstract: A distributed database system can implement a column-based database system and a row-based database system for processing data. The row-based database system can store data organized into key value pairs, and data to be processed by the row-based database system is converted to a key-value format compressing keys that correspond to values. The distributed database system can perform serialization and compression in converting the data to the key-value format for efficient data storage performance. The distributed database system can unpack portions of the converted serialized compressed data in response to queries that process a portion of serialized compressed data without unpacking the entire converted dataset.

Abstract: Techniques are disclosed in which a computer system implements schema changes for existing database objects by maintaining a logical name and a current physical name corresponding to an existing database object, where the logical name points to the current physical name. The system receives a schema change request specifying the logical name and format changes for the existing object. The system performs a schema change operation in response to the request, including: creating a new database object having a new physical name, copying and transforming data from the existing object to the new object according to the format changes, mirroring new writes directed to the logical name to both the existing and new objects, and causing the logical name to point to the new physical name instead of the current physical name after completing the copying. The system responds to subsequent queries, specifying the logical name, from the new object.

Abstract: Embodiments of present application provide a data updating method, an apparatus, a search server, a terminal and a storage medium. A search server provides a terminal with a search result webpage including one or more webpages associated with a search keyword, where the search result webpage also includes a pre-stored webpage summary obtained by the search server by crawling webpage content of each webpage in advance; then the terminal crawls a target webpage triggered by a user to obtain a current webpage summary, and the terminal sends comparison information of consistency comparison between the current webpage summary and the pre-stored webpage summary to the search server; and finally the search server updates the pre-stored webpage summary of the target webpage according to the comparison information of the target webpage.

Abstract: The present disclosure relates to methods, systems, and non-transitory computer-readable media for determining causal contributions of dimension values to anomalous data based on causal effects of such dimension values on the occurrence of other dimension values from interventions performed in a causal graph. For example, the disclosed systems can identify an anomalous dimension value that reflects a threshold change in value between an anomalous time period and a reference time period. The disclosed systems can determine causal effects by traversing a causal network representing dependencies between different dimensions associated with the dimension values. Based on the causal effects, the disclosed systems can determine causal contributions of particular dimension values on the anomalous dimension value. Further, the disclosed systems can generate a causal-contribution ranking of the particular dimension values based on the determined causal contributions.

Abstract: It may be desired to query a large record of events to retrieve certain segments of the data that provide information of interest. However, the data might not be structured such that it is conducive to generate/execute queries that inquire about net changes of events over time. Query language may also be interpreted differently by different analysts. In some embodiments data related to events is assembled into a data structure having a format logically equivalent to a double entry transition table. Each event may have two entries in the table: a first entry representing the event as a transition from a previous state to a current state, and a second entry representing the reverse transition of the first entry. In some embodiments, a query executor tool may be provided as a graphical user interface for entering information of interest to be queried.

Abstract: A timeline display device includes processing circuitry configured to store event data for displaying a figure that represents an operation along a time axis, the event data including a start time point and an end time point of the operation, acquire a search condition that specifies an appearance pattern of the figure that is displayed, and search for data pieces of the event data that match the acquired search condition.

Abstract: The present disclosure describes storage techniques for hybrid transactional and analytical processing. Data captured by a first processing engine may be received. The first processing engine may be configured to perform online transactional processing). Multiple replicas of logical logs generated based on the data may be distributed to a Delta Store by applying a quorum protocol on the multiple replicas. Data in the Delta Store are stored in a row format and are visible to a query for online analytical processing performed by a second processing engine. Data may be flushed from the Delta Store to a Base Store based on one or more predetermined rules. Data in the Base Store are stored in a columnar format and may be accessible by the second processing engine.

Abstract: Apparatuses, methods, and storage medium associated with a browser for prioritized display of videos and/or photographs are disclosed herein. In embodiments, an apparatus may include one or more processors, devices, and/or circuitry to operate a browser to present a plurality of photos and/or videos for viewing. A subset of the plurality of the photos and/or videos may be selected based on the results of an analysis of sensor data collected by a plurality of wearable sensors. The subset of the plurality of the photos and/or videos may be prioritized over other photos and/or videos from the plurality of the photos and/or videos in terms of presentation space allocated for presentation.

Abstract: Systems and methods are described that provide measures of uncertainty for map features provided in association with a vehicle map service. A vehicle map service may include a vehicle map model that is configured to provide map data for a geographic area in association with a vehicle map service. The vehicle map model can have an entity schema that includes a first address space configured to represent a plurality of entities associated with the vehicle map model. The vehicle may service may include an uncertainty model that is configured to represent a plurality of uncertainties associated with the plurality of entities. The uncertainty model can have an uncertainty schema that includes a second address space that is separate from the first address space. Uncertainties in the second address space can point to one or more entities in the first address space.

Abstract: In a method for managing data in a partition table, a server, and a storage medium, a management node obtains a creation duration range of data of a target partition in the partition table, further obtains a geographical area to which the target partition belongs, historical access information of the target partition, or a service type of the target partition; and then, when the creation duration range of the data of the target partition meets a predetermined time range of a first storage stage and a preset condition is met, the management node alters the data that is of the target partition and that has been stored based on a storage policy corresponding to a second storage stage to be stored based on a storage policy corresponding to the first storage stage.

Abstract: Described herein is a computer implemented method and computational system for a project management service. Issues of a project are defined by data entities stored in a tree structure including a root node. The tree structure may include one or more siblings to the root node, one or more child nodes and one or more siblings to the child node. The root node references each child node and references each of its sibling nodes. Each child node references each of its sibling nodes.

Abstract: A control module is adapted to control technical equipment by processing batch-run data from the technical equipment. The control module operates according to parameters that are obtained by a parameter module. The module receives a reference plurality of multi-variate reference time series with data values from sources that are related to the equipment. There are time series with measurement values and time series with data that describes particular manufacturing operations during a batch-run time interval. The module splits the time interval into phases by determining transitions between the particular manufacturing operations, and divides the time series into particular phase-specific partial series. For each phase separately, and for the phase-specific partial series in combination, the module differentiates phase-specific time series into relevant partial time series or non-relevant partial time series and set the parameters accordingly.

Abstract: Techniques described herein relate to systems and methods of data storage, and more particularly to providing layering of file system functionality on an object interface. In certain embodiments, file system functionality may be layered on cloud object interfaces to provide cloud-based storage while allowing for functionality expected from a legacy applications. For instance, POSIX interfaces and semantics may be layered on cloud-based storage, while providing access to data in a manner consistent with file-based access with data organization in name hierarchies. Various embodiments also may provide for memory mapping of data so that memory map changes are reflected in persistent storage while ensuring consistency between memory map changes and writes. For example, by transforming a ZFS file system disk-based storage into ZFS cloud-based storage, the ZFS file system gains the elastic nature of cloud storage.

Abstract: Techniques that facilitate generating and executing an optimal dialogue strategy are provided. In one example, a system includes an information gain component and a question selector component. The information gain component estimates information gain data associated with first dialogue data of an information system. The information gain data is indicative of an amount of change in entropy associated with the first dialogue data. The question selector component selects between second dialogue data associated with a first question strategy and third dialogue data associated with a second question strategy based on the information gain data.

Abstract: Systems and methods to read records of a data staging table, where each record of the data staging table is associated with a package identifier, a key value of a record of a first database table, values of one or more non-key fields of the record of the first database table, and a database operation, include reading of one or more records of the data staging table, each of the read one or more records associated with a package identifier indicating the record is not being processed, and not including a same key value as any other record of the data staging table associated with a package identifier indicating the record is being processed, updating the package identifier of each of the read records of the data staging table to a first package identifier indicating that the record is being processed, creating a transaction record of a transaction queue associating the data staging table and the first package identifier, determining that the read one or more records have been processed, and, in response to the

Abstract: An online system receives a trip request including a location of the user requesting the trip. The online system identifies buildings or geographies based on the received location and determines location boundaries associated with the identified buildings or geographies. The online system identifies a set of hotspots representing locations that are frequently used for pickup or drop off. The online system additionally identifies a set of points of interest. The points of interest are, for example, businesses, landmarks, building names, or other visible information related to the location. The online system scores the set of points of interest based on a relative value of displaying the point of interest for orientation or navigation purposes. The online system modifies a user interface to display a map of the area including the identified location boundaries, hotspots, and one or more points of interest based on the scoring.

Abstract: Systems and methods are provided that, in some embodiments that extract user data from at least one data warehouse. The user data is sorted within each dimension, and partitions each dimension into bins. Clusters are defined as each bin that includes user data for a number of users that exceeds a threshold. Clusters are determined for every combination of dimensions. Each combination of clusters that exceed the threshold is defined as clusters that are formed from multiple dimensions. All clusters and other clusters are stored into a cluster definition table. The clusters are used to analyze the profile of specific users.

Abstract: In some implementations, a user device can maintain a multi-device context store. For example, the user device can receive device and/or user context information from multiple devices and store the context information in a local data store. The user device can collect local device and/or user context information and store the context information in the local context store. The user device can receive user/device context queries from client processes and send the client processes user/device context information from multiple devices in response to the queries.