Abstract: Systems and methods are provided for adaptive data replication. A first data object is stored. One or more first network characteristics of a communication network are detected. A first replication mode is triggered (e.g., a single-master replication mode) based on the one or more first network characteristics of the communication network. The single-master replication may be configured to facilitate real-time synchronizations (e.g., for critical updates). One or more second network characteristics of the communication network are detected. A second replication mode (e.g., a multi-master replication mode) is triggered based on the one or more second network characteristics. The second replication may be configured to facilitate a delayed synchronization (e.g., for non-critical updates) of the first data object and the second data object using the second update file.

Abstract: A system and method providing cross-ontology multi-master replication is described. In a first embodiment a method for cross-ontology multi-master replication comprising the steps of: obtaining, at an importing site, an exporting site ontology and a set of one or more database changes; wherein the exporting site ontology defines a set of one or more data types; and after mapping the exporting site ontology to an importing site ontology, incorporating the set of one or more database changes into a database including mapping each of one or more data types of the set of data types to a data type defined by the importing site ontology using an ontology map.

Abstract: A datacenter has more computing power than a personal computer. The personal computer sends a request to perform an operation on a data set to the datacenter. The datacenter evaluates various inputs to determine if, despite the datacenter's computing power, the personal computer is likely to complete the operation faster. Based on the determination, the datacenter may perform the operation, send the data set to the personal computer for the personal computer to process, or start a competitive computation. As a result, a user interface can be more responsive. Machine learning processes can be used to improve predictions.

Abstract: Systems and methods are provided for obtaining one or more source code files that correspond to a software program. At least one first software package that is separately executable from the software program is obtained, the first software package including one or more source code files. At least one first callable library for the first software package and at least one first invocation mechanism for calling the first callable library are generated. A composite software program that is capable of invoking at least the software program and the first callable library for the first software package using the first invocation mechanism is generated.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for computer network security risk assessment. One of the methods includes obtaining compromise likelihoods for user accounts. Information describing a network topology of a network is obtained, with the network topology being nodes each connected by an edge to other nodes, each node being associated with a compromise likelihood, and one or more nodes are high value nodes associated with a compromise value. Unique paths to each of the high value nodes are determined for a particular user account. An expected value for each path is determined based on the compromise likelihood of the particular user account, the compromise likelihood of each node included in the path, the communication weight of each edge included in the path, and the compromise value associated with the high value node. User interface data is generated describing at least one path.

Abstract: Embodiments of the present disclosure relate to systems, techniques, methods, and computer-readable mediums for one or more database systems configured to perform image identification of an image captured using a remote mobile device, and display of identity information associated with the captured image on the remote mobile device, in communication with the database system(s). A system obtains an image captured using a camera on a remote mobile device and performs image analysis to identify the captured image using reference images in one or more databases. The system can present the results for display an interactive user interface on the remote mobile device.

Abstract: Techniques in this disclosure may provide a user interface that concurrently displays multiple panels which provide visualization of emergency call data of a law enforcement agency. The user interface can provide a high-level overview of emergency calls in a geographical area. Each panel in the user interface can provide visualization of the emergency calls and/or statistics relating to the calls. A user can customize which panels to include in the user interface and/or customize setting for each panel. The user may apply various types of filters to the data displayed in the user interface, and the panels can update the visualizations according to the filters. The user interface can also provide the ability to show data at various levels of detail within the same user interface or panel. The techniques in the disclosure can provide a convenient, digestible overview of tactical and/or strategic data in a single user interface.

Abstract: Systems and methods are provided for obtaining and providing one or more resources for an investigation to be conducted remotely from a server. Resources needed to conduct an investigation may include one or more portions of a database and/or one or more functionalities of a data analysis platform. Based on the investigation to be conducted (e.g., type of investigation, location of investigation, personnel involved, etc.), a computing system may obtain different amounts/types of resources from the server. The investigation may be conducted via a web application that runs on the computing system. The web application may access the resources obtained from the server. The results of the investigation may be sent by the computing system to the server. The computing system may receive updates from the server. The computing system may act as a server for other remote systems that are conducting investigations.

Abstract: A system of one or more computing devices is utilized for, among other purposes, creating a template-driven search interface and conducting searches thereon. In an embodiment, the system comprises: a template repository; search templates in the template repository, the search templates comprising at least: field specification data that specify search interface fields for obtaining search input data, and query specification data that specify how to generate structured queries based on the search input data obtained for the one or more of the search interface fields; a search field generator that generates search fields indicated by the field specification data; a template loading module, coupled to the template repository, that identifies available search templates in the template repository; and a search interface generator, coupled to the search field generator and template loading module, that generates different search interfaces depending on which template is selected.

Abstract: A mobile data analysis system is provided that enables mobile device location tracking, secure messaging, and real-time sharing of intelligence information, among other features. In one embodiment, a mobile data analysis system includes functionality for generating mobile reports. In this context, a mobile report represents information collected by a mobile device user and provided as input to a report form displayed by an associated mobile device. The collected information may, for example, include information relating to an activity or event, information relating to a particular person, entity, or location, or any combination thereof. A mobile report may be based on a report template. A report template defines one or more data fields and other property information to be included in a mobile report based on the report template.

Abstract: Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes recognizing an identifier associated with an entity and accessing a data structure comprising information associated with a plurality of interactions. The method also comprises identifying one or more interactions of the plurality of interactions based on the recognized identifier. The method further comprises processing the information of the identified interactions to analyze a performance of the entity and providing the processed information to display the performance of the entity on a user interface.

Abstract: Techniques for implementing a node-based access control system are described herein. In an embodiment, a server computer stores a node based policy system wherein each node identifies a resource and a policy for the resource. The server computer identifies a policy for a first node and an identifier of a second node wherein the second node is a parent node to the first node. The server computer maps an effective policy identifier to the policy for the first node and the identifier of the second node. The server computer stores data associating the effective policy identifier with the first node. The server computer identifies a policy for a third node and an identifier of the second node, wherein the second node is a parent node to the third node and wherein the policy for the third node is equivalent to the policy for the first node. The server computer then stores data associating the effective policy identifier with the third node.

Abstract: A verifiable, redactable log, which, in some embodiments, may contain multiple hash values per entry in order to sever confidentiality of a log from verifiability. Logs may be verified using recalculation of hashes and verification of trusted digital signatures. In some embodiments, the log may be divided into segments, each signed by a time server or self-signed using a system of ephemeral keys. In some embodiments, log messages regarding specific objects or events may be nested within the log to prevent reporting omission. The logging system may receive events or messages to enter into the log.

Abstract: Systems and methods are disclosed for active column filtering. In accordance with one implementation, a method is provided for active column filtering. The method includes providing a table having data values arranged in rows and columns, providing a first filter location indicator whose location is visually associated with a first column, and providing a first interface based on a selection of the first filter location indicator, wherein the first interface's location is visually associated with the first column. The method also includes acquiring a first filter input entered into the first interface, filtering the table based on the acquired first filter input, providing the filtered table for displaying, and providing an applied filter indicator, whose location is visually associated with the first column, the applied filter indicator including at least the first filter input.

Abstract: A computer-implemented system or process is programmed or configured to use a configuration file to specify one or more tasks to apply to raw ingested data. A task may be a sequence of instructions programmed or configured to format raw ingested data into a dataset in a CSV format. Examples of tasks may include: a parser to parse Cobol data into a CSV, a parser to parse XML into a CSV, a parser to parse text using fixed-width fields to a CSV, a parser to parse files in a zip archive into a CSV, a regular expression search/replace function, or formatting logic to remove lines or blank lines from raw ingested data. In one embodiment, the configuration file may specify a schema definition for a task to use for generating a dataset. In one embodiment, the configuration file may also include one or more access control list (ACL) definitions for the generated dataset. In one embodiment, the building of datasets using the configuration file is automated, for example, on a nightly basis.

Abstract: A computer-implemented system and method for data revision control in a large-scale data analytic systems. In one embodiment, for example, a computer-implemented method comprises the operations of storing a first version of a dataset that is derived by executing a first version of driver program associated with the dataset; and storing a first build catalog entry comprising an identifier of the first version of the dataset and comprising an identifier of the first version of the driver program.

Abstract: In one embodiment, a computer-implemented process is programmed or configured to allow a first mobile device to generate and send enriched pin data to a geographical messaging system. Enriched pin data may include latitude and longitude data, a timestamp, and a media element. Media elements may include image data, video data, text data, drawing data that defines a geographic location, route data that defines a geographic travel path, and/or pin expiration data. The geographical messaging system may then broadcast the enriched pin data to a second mobile device belonging to a team member in the same geographical region as the first mobile device. The second mobile device may then use the enriched pin data to display, on a geographical map, a map pin that corresponds to the enriched pin data. In one embodiment, the second mobile device may also use the enriched pin data to display, in a message chain, a message related to the enriched pin data.

Abstract: In an embodiment, a data processing method comprises creating and storing a plurality of analytical notebooks in digital computer storage, wherein each of the analytical notebooks comprises notebook metadata that specifies a kernel for execution, and one or more computational cells, wherein each of the cells comprises cell metadata, a source code reference and an output reference; receiving, in association with a first cell among the one or more cells, first input specifying computer program source code of a function, wherein the function defines an input dataset, a transformation, and one or more variables associated with output data; storing the first cell, excluding the output data, using a first digital data storage system and updating the source code reference to identify the first data storage system; using the kernel specified in the notebook metadata, executing an executable version of the source code to result in generating the output data; storing the output data using a second digital data storage