Abstract: Systems and methods are provided for facilitating data object extraction from unstructured documents. Unstructured documents may include data in an unorganized format, such as raw text. The system may use natural language processing to determine characteristics of the terms used in the unstructured document. The system may prompt a user to select terms from the document corresponding in characteristics to properties of a data object being generated. The user may select terms from the document and the system may generate a data object according to the selected terms.

Abstract: Systems and techniques for searching multiple data sources are described herein. Users may specify searches of multiple data sources to occur on a periodic basis. The searches may be configured to search time or date ranges that have not previously been searched. A user may select the data sources of interest and specify search terms, review and edit previously created searches, and review results of searches. The system automatically performs the specified searches, and notifies the user and/or a team of the user each time new results are found. The system may efficiently search the data sources by storing previous search results and comparing the previous results to current search results to identify new search results.

Abstract: Aspects of the present disclosure relate to computer system security. A machine accesses a set of records corresponding to a set of users having access to a computer system. The machine stores, for each user in the set of users, a baseline profile representing baseline activity of the user with respect to a set of data sources of the computer system. The machine monitors activity of the set of users with respect to the set of data sources. The machine determines, based on monitoring the activity of the set of users, that a user action of a specified user, with respect to one or more data sources from the set of data sources, is anomalous relative to the baseline profile of the specified user. The machine provides a digital transmission representing the anomalous user action.

Abstract: Systems and methods are provided for event-based route planning. Information of events taking place in a predetermined geographic area is received. An origin and at least one destination are determined. One or more first routes for traveling from the origin to the destination are determined from the predetermined geographic area. One or more segments in each of the first routes are determined based on the received information, each segment being associated with a corresponding recommendation for travelling via the segment.

Abstract: One or more software products/services may be installed on a cloud deployment. Product versions of such services can be upgraded (or rolled back) based on a deployment plan comprising tasks adapted to reach a target deployment state. A central upgrade server can forward tasks to an upgrade agent for execution, the tasks being based on a current operational state of the cloud deployment (obtained by the upgrade agent) and one or more constraints. In multiple node deployments, some nodes may be upgraded to a new product version, while other nodes are kept at a current product version until stability of the new product version is determined. Traffic across nodes can be shaped to ensure a deployment is healthy before upgrading other nodes/deployments. If the health of a node/deployment does not meet specified criteria, an upgrade can be stopped, an alert can be triggered, and the node/deployment can be rolled back.

Abstract: Systems and methods are disclosed for collaborative information analysis via electronic communications. In accordance with one implementation, a method is provided for analyzing electronic communications. The method includes, for example, receiving a selection of one of a plurality of electronic communication systems. Moreover, the method includes receiving, from the selected electronic communication system, an electronic communication comprising a plurality of terms and identifying at least one term of interest from the plurality of terms. The method further includes searching for information pertaining to the at least one term of interest and receiving information responsive to the search. The method also includes creating an object corresponding to the at least one term of interest and sharing a representation of the object with one or more users.

Abstract: Aspects of the present disclosure relate to alerting. A server accesses a user-provided specification, the user-provided specification indicating an initial alert range for a measured value and a subsequent alert schedule for the measured value. The server monitors a physical measurement of the measured value. The server determines that the physical measurement falls within the initial alert range. The server provides an initial alert in response to the physical measurement falling within the initial alert range. The server provides a subsequent alert according to the subsequent alert schedule in the user-provided specification.

Abstract: In various example embodiments, a comparative modeling system is configured to receive selections of a data set, a transform scheme, and one or more machine-learning algorithms. In response to a selection of the one or more machine-learning algorithms, the comparative modeling system determines parameters within the one or more machine-learning algorithms. The comparative modeling system generates a plurality of models for the one or more machine-learning algorithms, determines comparison metric values for the plurality of models, and causes presentation of the comparison metric values for the plurality of models.

Abstract: Techniques for dynamically building documentation based on installed services are described herein. In an embodiment, a plurality of different electronic documents are stored in a data repository. A server computer system identifies one or more service software components of an application program that have been installed as part of a particular application instance. The server computer identifies a subset of one or more particular documents from the plurality of documents stored in the data repository that correspond to the identified one or more services. Using the subset of one or more particular documents, the server generates a particular customized document which is then stored in association with the particular application instance.

Abstract: Embodiments of the present disclosure relate to a data analysis system configured to implement cross-application coordination between a chart creation tool and a data analysis workspace, in order to create one or more charts from customized sets of data points, synchronize chart manipulations between charts, and drill down into the metadata of data points in the created charts. The user uses the data analysis workspace to select, remove, or cherry-pick data items to be used to create a chart, which may be transmitted from the workspace to the chart creation tool as data points. In addition, the user may select the data points in the chart to retrieve one or more identifiers to be transmitted back to the workspace, where they are used to identify the data items associated with the data points, and retrieve the full metadata of the data items.

Abstract: Example embodiments involve a metrics collection system for collecting software usage metrics from one or more client devices at deployments. A computer, such as a server configured to execute the metrics collection system, collects software usage metrics (e.g., as a metrics submission from a client device) of the software product at the deployment, identifies a metrics type of the software usage metrics collected, assigns the software usage metrics to a metrics category, and calculates and updates a metrics score of the metrics category, based on the software usage metrics collected.

Abstract: A system and method for processing data wherein one or more user selections of source data and an input defining one or more operations to be performed on the selected source data are received to generate processed data for display as a chart; the source data is retrieved from at least one data source, the source data is processed according to the defined one or more operations to generate processed data for output for display as a chart, the chart is stored as data defining the one or more operations and data identifying the source data operated on, a further user selection is received to redisplay the chart; retrieving the source data from the at least one data source; and the source data is processed according to the defined one or more operations to generate the processed data for output for redisplay as the chart.

Abstract: Embodiments of the present disclosure relate to a data analysis system that may receive data comprising a plurality of raw data items from one or more data sources, such as a monitoring agent located in a monitored network. The received data may be scored using one or more scoring rules and/or algorithms, with raw data items satisfying a score threshold designated as “data item leads.” Raw data items associated with a data item lead may be searched and displayed to the user via an interactive user interface. The data analysis system may be used to execute searches and additional enrichments against the received raw data items. The data analysis system may group received raw data items based upon shared attribute values. The data analysis system may be used to categorize received data and construct timelines, histograms, and/or other visualizations based upon the various attributes of the raw data items.

Abstract: A system comprising a computer-readable storage medium storing at least one program and a method for integrating collaborative spreadsheet data into one or more network applications is presented. The method may include accessing an application data schema comprising a set of constraints on application data consumed by an application hosted by an application server. The method may further include accessing a spreadsheet having one or more data validation rules. The method may further include determining whether the one or more data validation rules include the set of constraints. In response to determining the one or more data validation rules include the set of constraints, application data consumed by the application is synchronized with spreadsheet data corresponding to the spreadsheet.

Abstract: Methods and apparatuses related to federated search of multiple sources with conflict resolution are disclosed. A method may comprise obtaining a set of data ontologies (e.g., types, properties, and links) associated with a plurality of heterogeneous data sources; receiving a selection of a graph comprising a plurality of graph nodes connected by one or more graph edges; and transforming the graph into one or more search queries across the plurality of heterogeneous data sources. A method may comprise obtaining a first data object as a result of executing a first search query across a plurality of heterogeneous data sources; resolving, based on one or more resolution rules, at least the first data object with a repository data object; deduplicating data associated with at least the first data object and the repository data object prior to storing the deduplicated data in a repository that has a particular data model.

Abstract: Computer implemented systems and methods are disclosed for importing data from electronic data files. In accordance with some embodiments, source electronic data files are received at a data importation system and managed by the data importation system. The data importation system may load detector/transformer plugins and determined whether any of the load detector/transformer plugins apply to the received source electronic data files. The data importation system may also generate transformed data using a transformer corresponding to a detector that applies to the source electronic data files. The data importation system may import the transformed data into at least one of a data analysis system and a database.

Abstract: A context-sensitive viewing system is disclosed in which various data visualizations, also referred to a contextual views, of a common set of data may be viewed by a user on an electronic device. Data in the system may comprise data objects and associated properties and/or metadata, and may be stored in one or more electronic data stores. As a user of the system views and manipulates a first contextual view of a set of data objects, one or more other contextual views of the same set of data objects may be updated accordingly. Updates to the secondary contextual views may, in various embodiments, happen real-time. Further, the secondary contextual views may be visible to the user simultaneously with the primary contextual view. A user may switch from one view to another, and may manipulate data in any view, resulting in updates in the other views.

Abstract: A system including first computer memory storing a full data set representable in rows and columns, a second computer memory storing executable instructions, and processors configured to execute the instructions to cause presentation of data of the full data set on a display including columns of data each having data fields, receive user input identifying a column of the data set, determine items to modify in information in the data fields of the identified column, generate and cause display of an indication of a proposed change action to modify the determined items, and in response to a user input indicating a selection of the indication of the proposed change action, update the presentation of the data based on the change action to modify information displayed in the data fields of the identified column of the data, and store a log of the change action.

Abstract: Systems and methods for implementing sequenced filter templates to intelligently reduce a dataset to find useful patterns and source data are disclosed. An expert investigative user may configure a filter template comprising a series of filters organized in a sequence desired by the expert user. The filter template can be customized by an end user to reduce a dataset and perform guide investigation of the reduced dataset.

Abstract: Techniques for generating a schema for a data input file are described herein. In an embodiment, a server computer receives a data input file. The server computer system selects a sample excerpt from the data input which comprises a subset of the data input file. The server computer system analyzes the sample excerpt to determine a row delimiter for the data input file, a column delimiter for the data input file, and a plurality of data format types. Using the column delimiter, row delimiter, and plurality of data format types, the server computer system generates a candidate schema for the data input file.