Abstract: Various systems and methods are provided that allow reviewers to properly and timely label communications and easily view such communications. Certain systems and methods organize one or more communications in a tile layout so that reviewers can properly and timely label communications. A reviewer can hover over any of the communications to view more details regarding the communication and/or label the communication. For example, while the cursor is placed over the displayed communication, the reviewer can provide a command, such as a key command. Once the command is provided, the displayed communication is labeled with a label associated with the command.

Abstract: Various systems and methods are provided that display various graphs in an interactive user interface in substantially real-time in response to input from a user in order to determine information related to measured data points and provide the determined information to the user in the interactive user interface. For example, a computing device may be configured to retrieve data from one or more databases and generate one or more interactive user interfaces. The one or more interactive user interfaces may display the retrieved data in one or more graphs, such as time-series or scatterplots. The user interface may be interactive in that a user may manipulate one graph, which causes an identical or nearly identical manipulation of another displayed graph in real-time. The manipulations may occur even if the displayed graphs include data across different time ranges.

Abstract: Systems and methods are provided for managing states of deployment. A presence of a configuration change to be implemented at a deployment may be detected. The configuration change may include one or more commands to change a configuration of the deployment. Responsive to detecting the presence of the configuration change, information describing the configuration change may be stored in a repository. The information may be stored in an unsubstituted form and a substituted form. An interface through which configuration change information is accessible may be provided. The configuration change information may describe the configuration change at the deployment based on one or both of the unsubstituted form and the substituted form.

Abstract: Systems, methods, non-transitory computer readable media can be configured to accessing a target sensor log corresponding to a first machine; accessing one or more prior sensor logs corresponding to the first machine and one or more prior sensor logs corresponding to a plurality of second machines which are of the same type as the first machine; accessing a plurality of computer readable logs corresponding to the first machine and the second machines, the computer readable logs for each second machine comprising a maintenance log comprising a plurality of maintenance task objects, each maintenance task object comprising a time and a maintenance task type; determining a set of statistical metrics characterising a difference between the target sensor log and each prior sensor log; selecting a sub-set of the prior sensor logs in dependence upon the statistical metrics; analysing the maintenance logs to correlate each prior sensor log included in the subset to one or more correlated maintenance tasks; selecting a

Abstract: In an embodiment, a computer-implemented process is programmed or configured to allow a first computing device to generate and send enriched pin data to a geographical messaging system. The geographical messaging system may then broadcast the enriched pin data to a second computing device belonging, for instance, to a team member in the same geographical region as the first computing device. The second computing device may then use the enriched pin data to display, on a geographical map, a map pin that corresponds to the enriched pin data for a selected map pin type.

Abstract: Systems and methods are provided for obtaining information from at least one computing system, the information including a set of records that respectively identify at least a network-based address of a computing device that accessed the computing system and an account hosted by the computing system that was accessed using the computing device; determining at least a first account and a second account were accessed from one or more computing devices that share a given network-based address based at least in part on the obtained information; and associating the first account and the second account with the network-based address.

Abstract: Systems and methods are provided for determining a set of objects, the objects corresponding to a given case or application of a deletion/retention policy; determining at least one object in the set of objects to be scheduled for deletion, the at least one object being associated with a given state that specifies a deletion and/or retention type and schedule for the at least one object; and scheduling data corresponding to the at least one object for deletion from one or more data sources based at least in part on the deletion and/or retention type and schedule specified in the object state.

Abstract: The present disclosure relates to methods and systems for querying data in a data repository. According to a first aspect, this disclosure describes a method of querying a database, comprising: receiving, at a computing device, a plurality of keywords; determining, by the computer device, a plurality of datasets relating to the keywords; identifying, by the computer device, metadata for the plurality of datasets indicating a relationship between the datasets by examining an ontology associated with the datasets; providing, by the computer device, one or more suggested database queries in natural language form, the one or more suggested database queries constructed based on the plurality of keywords and the metadata; receiving, by the computing device, a selection of the one or more suggested database queries; and constructing, by the computer device, an object view for the plurality of datasets based on the selected query and the metadata.

Abstract: A computer-implemented method comprises receiving one or more data transformation commands through a console in a console session, the one or more data transformation commands relating to one or more initial datasets; executing the one or more data transformation commands using the one or more initial datasets to modify at least one of the one or more initial datasets to generate a modified dataset; generating a set of environment flags for the command to indicate that the one or more initial datasets has been accessed and the at least one dataset that has been modified; and updating a set of line dependencies based on the generated set of environmental flags and previously generated sets of environmental flags for one or more previously executed commands.

Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.

Abstract: In cases where the right mouse click operation to access a context menu is disabled, the techniques described in the disclosure may provide access to the context menu through a long click of the left mouse button. For example, the user may click and hold the left mouse button for at least a threshold period of time, and in response thereto, the user interface is updated to display the context menu. To indicate to the user how long it would take for the context menu to appear, an icon can be displayed next to the cursor, or as a part of the cursor. The icon can show the relative time left before the context menu is displayed (e.g., an elapsed and/or remaining portion of the threshold period of time, etc.).

Abstract: A time-sensitive cube data system is disclosed in which time-sensitive and/or time-series data objects are output in response to a user's operations on a time-sensitive OLAP cube. The time-sensitive and/or time-series data objects output by the time-sensitive cube data system may be displayed to the user in any way that may be advantageous to the user's understanding. The time-series objects output by the time-sensitive cube data system are more helpful than a single snapshot, as a user is able to see data trends over time.

Abstract: Example embodiments describe a data storage method and system. For example, the method described, performed by one or more processors, may comprise in an application for enforcing one or more policies for reading and writing data to a database receiving, over a data network, instructions for performing a read or write request for data, and sending the read or write request to a transaction manager for providing transactions for a key-value store of the database, the request being in accordance with one or more policies to be enforced by the enforcing application. The method may also comprise receiving, from the transaction manager, a response message based on operations performed by the transaction manager in response to the read or write request.

Abstract: Systems and methods are provided for determining a request to validate data, the request specifying validation criteria; generating a graph for validating the data, the graph including at least one node-based connected component that evaluates the data, the node-based connected component being constructed to represent the validation criteria; validating the data using the generated graph, wherein the data being validated is evaluated by the node-based connected component; and providing information describing the validated data.

Abstract: Systems and methods are provided that are useful for configuring data processing pipelines. During building of a dataset in a data processing pipeline, statistics can be calculated relating to the dataset.

Abstract: A method performed by one or more processors comprises displaying code, receiving user selection of a portion of code, determining one or more settable data items, generating a template, displaying the template, receiving a user input value for the settable data items by the template, and executing the code with each of the settable data items set to the received user input value. A data processing pipeline is configured to pass a data item to a first transformer to provide first transformed data, store the first transformed data in a temporary memory, write the first transformed data to the data storage system, and pass the transformed data from the temporary memory to a second transformer.

Abstract: In an embodiment, a computer-implemented method comprises, calculating a first relational classification score for a first node in a first graph; calculating a second relational classification score for a second node in a second graph; calculating a relational classification matching score for the first node and the second node that is based upon on the first relational classification score and the second relational classification score; generating a canonical tuple that represents a match between the first node and the second node based at least upon the relational classification matching score.

Abstract: Systems and methods are presented for data quality monitoring. Data quality monitors may be created and configured to identify objects with specified data quality issues and/or property values. Objects identified by a data quality monitor can be presented to users for confirmation and resolution. Properties used by the data quality monitor to match objects may also be displayed to users.

Abstract: A data analysis system receives potentially undesirable electronic communications and automatically groups them in computationally-efficient data clusters, automatically analyze those data clusters, automatically tags and groups those data clusters, and provides results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the data clusters may include an automated application of various criteria or rules so as to generate an ordered display of the groups of related data clusters such that the analyst may quickly and efficiently evaluate the groups of data clusters. In particular, the groups of data clusters may be dynamically re-grouped and/or filtered in an interactive user interface so as to enable an analyst to quickly navigate among information associated with various groups of data clusters and efficiently evaluate those data clusters.

Abstract: Systems and methods for rapid importation of data including temporally tracked object recognition. One of the methods includes receiving datasets each indicating information associated with one or more objects. Information indicating unique identifying information associated with the objects is accessed, and an updated dataset joining information from datasets that is associated with each object is generated. The updated dataset is maintained to include most recent versions of each of the datasets, with one or more datasets being replaced with more recent versions, and with one or more other datasets being propagated to be the most recent versions. Queries received from clients are responded to, with the queries indicating requests for specific information related to objects.