Abstract: An error management system can provide search results based on a received stack trace. For example, the error management system receives, from a client device, a search query including a stack trace. The error management system parses the search query to identify at least a first class and one or more errors associated with the first class, yielding a parsed search query. The error management system searches a class mapping table based on the parsed search query. The class mapping table includes a listing of classes and corresponding links to source code. The error management system searches an error discussion database based on the parsed search query. The error discussion database includes one or more user generated postings regarding programming errors. The error management system provides, to the client device, search results resulting from searching the class mapping table and the error discussion database.

Abstract: Systems and methods are provided for storing a first data object comprising a first set of immutable components, the first data object being associated with a corresponding second data object stored by a remote replication system. A difference is determined between the first set of immutable components of the first data object and a second set of immutable components of the corresponding second data object. A subset of immutable components is identified from the first set of immutable components based on the difference. The subset of immutable components from the first set of immutable components is provided to the remote replication system over a communication network.

Abstract: Systems, methods, and non-transitory computer readable media are provided for mapping data based on an ontology of a platform. A data set may be obtained. Data within the data set may be for use by an operation platform based on an operation ontology. The operation ontology may define an operation data structure for the operation platform. The data may be shaped based on a target ontology. The target ontology may define a target data structure for a target platform. The data may be shaped such that the data is mapped to the target data structure.

Abstract: System and method for processing time-related geospatial data from one or more data sources. For example, a system includes an application server; and a storage. The application server is configured to: receive data including temporal information and geospatial information for each data object of one or more data objects, send the data to a client device to display the data on a map, and generate one or more first multi-dimensional tiles based at least in part on the temporal information and the geospatial information. The one or more first multi-dimensional tiles correspond to a temporal dimension associated with a first temporal width. The application server is further configured to send the one or more first multi-dimensional tiles to store in the storage for retrieval by the client device.

Abstract: Various systems and methods are provided that integrate data from disparate sources to identify shipment misalignments and display such information in interactive user interfaces. For example, the systems described herein can define various geographic regions using location and census data and identify the defined geographic regions in which stores are located. Using shipment data and micro-market data, the systems described herein can then identify the geographic regions that items are shipped to, identify the demand for such items in the geographic regions, and determine whether the quantity of items shipped to the geographic regions is appropriate based on the demand. Such information can be displayed in an interactive user interface that allows a user to view the geographic clustering of item demand, identify potential opportunities for correcting shipment misalignment, and/or correct identified shipment misalignments.

Abstract: In an embodiment, a data processing method comprises, using a distributed database system that is programmed to manage a plurality of different raw datasets and a plurality of derived datasets that have been derived from the raw datasets based on a plurality of derivation relationships that link the raw datasets to the derived datasets: from a first dataset that is stored in the distributed database system, determining a subset of records that are candidates for propagated deletion of specified data values; determining one or more particular raw datasets that contain the subset of records; deleting the specified data values from the particular raw datasets; based on the plurality of derivation relationships and the particular raw datasets, identifying one or more particular derived datasets that have been derived from the particular raw datasets; generating and executing a build of the one or more particular derived datasets to result in creating and storing the one or more particular derived datasets without

Abstract: In some embodiments, a method comprises obtaining a video stream of a portion of a geographic area, the video stream comprising a plurality of video frames, each of the plurality of video frames captured at a respective first time. Contextual metadata is obtained, the contextual metadata associated with one or more objects located in the portion of the geographic area at a second time, the second time being before each of the respective first times. The contextual metadata is inserted into one or more of the plurality of video frames, thereby causing the contextual metadata associated with the one or more objects to be overlaid on one or more corresponding portions of the one or more of the plurality of video frames.

Abstract: Computer-implemented systems and methods are disclosed to interface with a storage device storing a file, wherein the file comprises first data associated with an artifact configured to be displayed in a first interface at a first electronic device, the artifact including a first representation state representing a first visual depiction of one or more data objects. In accordance with some embodiments, a method is provided to provide access via the first interface to the one or more data objects. The method comprises acquiring the first data associated with artifact. The method further comprises acquiring an activation of at least part of the artifact, and responsive to acquiring the activation, transmitting a first request to a second electronic device for second data associated with the artifact. The method further comprises acquiring the second data, wherein the second data allows the first visual depiction to be altered to a second visual depiction.

Abstract: Systems and methods generate a first security node hash identifier by performing a first hash operation, such as a one-way hash, on a first data resource identifier associated with a first data resource, such as a data set, produced by a data resource platform. The systems and methods generate a dependent second security node hash identifier by performing a second hash operation on a second data resource identifier associated with a dependent second data resource produced by the data resource platform and on the first security node hash identifier, receive an access request for access to the dependent second data resource; and in response to the access request, grant permission to access the dependent second data resource to a user associated with the access request based on the dependent second security node hash identifier.

Abstract: Systems, computer program products, and computer-implemented methods for determining relationships between one or more outputs of a first model and one or more inputs of a second model that collectively represent a real world system, and chaining the models together. For example, the system described herein may determine how to chain a plurality of models by training an artificial intelligence system using the nodes of the models such that the trained artificial intelligence system predicts related output and input node connections. The system may then link related nodes to chain the models together. The systems, computer program products, and computer-implemented methods may thus, according to various embodiments, enable a plurality of discrete models to be optimally chained.

Abstract: Systems and methods are provided for enhanced processing of time series data via parallelization of instructions. An example method includes receiving a query indicating time series datasets and operations to be performed on the time series datasets. Nodes associated with the query are identified, with each node associated with a time series dataset. Nodes associated with operations to be performed are generated. The nodes are assembled into query tree, with parent nodes of the query tree indicating operations that are to be applied to children nodes. Instructions for processing the query tree are generated. At least a subset of the instructions is provided to one or more compute systems for processing in parallel. Results are received, and presented in a user interface.

Abstract: Systems and methods are provided for determining an access request provided by an entity that seeks to interact with one or more backend systems through a middleware system, the access request including a genuine access token. The entity can be authenticated based on the genuine access token. When a client request is made to the middleware system with a genuine access token, the request can be made through a smart ingress and egress proxy which intercepts the request and replaces the genuine access token with an invalid access token. The middleware system can subsequently make authorized requests to downstream systems on behalf of the middleware system's client by treating the smart proxy as an egress proxy for those subsequent requests, and the smart proxy replaces the invalid access token with a genuine one.

Abstract: Computer implemented systems and methods are disclosed for importing data from electronic data files. In accordance with some embodiments, a file format is assigned to a source electronic data files by a data importation system. The data importation system may further identify a file type identifier associated with the source electronic data file and map the source electronic data file to a transformation template. The data importation system may further store the file format, file type identifier, and an indication of the transformation template as a file type profile associated with the source electronic data file in a database.

Abstract: A system and a method are provided for collaborative data entry and integration. An operation performed by the system and the method include causing a collaborative interface for input to a spreadsheet to be provided via a user interface, receiving a data entry to the spreadsheet via the collaborative interface, validating the received data entry based on one or more validity rules associated with the spreadsheet, capturing a snapshot of the spreadsheet including the validated data entry, and causing at least the validated data entry of the spreadsheet to be integrated into datasets for one or more applications, at least based on the captured snapshot of the spreadsheet.

Abstract: Systems, methods, and non-transitory computer readable media are provided for visually presenting geospatial information. An information request for an area may be received. The area may include one or more predefined regions. The predefined region(s) may be subdivided into one or more levels of predefined sub-regions. Information for the area may be accessed. The information for the area may include region information for the predefined region(s) or sub-region information for the predefined sub-regions. A response to the information request may be determined based on the region information or the sub-region information. The response may enable a visual presentation of (1) the information for the area, and (2) one or more geographical boundaries corresponding to the area.

Abstract: Computer-implemented systems and methods are disclosed for indexing and aggregating data. In accordance with some embodiments, the systems comprise a memory device configured to store a set of instructions, and one or more processors configured to execute the set of instructions to generate an interactive user interface, receive, via the user interface, a user selected search criteria, access a plurality of aggregated data records comprising a plurality of data components, parse the aggregated plurality of data records to generate a subset of the aggregated plurality of data records corresponding to the search criteria, and display, via the user interface, a visual representation of the subset of the plurality of data records.

Abstract: A data processing method provides an improvement in speed of obtaining, in response to a computer search query from one or more computing devices, a particular compressed data chunk that may include a particular data value that is digitally stored in a large data file.

Abstract: Systems and methods are provided for determining an alias file that defines aliases for one or more datasets. At least one Structured Query Language (SQL) query that includes one or more aliases defined in the alias file can be determined. The at least one SQL query can be translated to a corresponding executable SQL expression. The corresponding executable SQL expression can be executed.

Abstract: An apparatus, and a method, performed by one or more processors are disclosed. The method receives a build request associated with performing an external data processing task on a first data set, the first data set being stored in memory associated with a data processing platform to be performed at a system external to the data processing platform. The method generates a task identifier for the data processing task, and providing, in association with the task identifier, the first data set to an agent associated with the external system with an indication of the data processing task, the agent being arranged to cause performance of the task at the external system, to receive a second data set resulting from performance of the task, and to provide the second data set and associated metadata indicative of the transformation. The method receives the second data set and metadata from the agent associated with the external system and stores the second data set and associated metadata.