Abstract: In order to facilitate dynamic graphing of entity networks based on activity, systems and methods include a processor receiving entity-specific data records and a plurality of entity-related activity records for a plurality of entities, where each entity-specific activity record includes activity data regarding at least one activity associated with an entity. The processor generates graph nodes for an entity activity graph based on the plurality of entity-specific data records, where each graph node of the plurality of graph nodes represents the particular entity and then generating an activity data structure, including the graph nodes and edges between the graph nodes, where the edges represent characteristics of the activities between graph nodes based on the entity-related activity record.

Abstract: Systems and methods for a user interface to summarize and personalize a large amount of price and product information, to identify patterns therein, and to generate recommendations in relation thereto are described herein.

Abstract: Techniques and systems are described for generating location based photo discovery suggestions. Generally, photo discovery data is generated and utilized to form discovery suggestions that identify suggested locations for capturing photographs, as well as other capture-related information that is presented to assist a user in capturing photographs of interest to the user. A discovery suggestion, for example, not only identifies a location of potential photographic interest to a user, but also includes information such as camera settings and suggested camera equipment for capturing photos at the location. A discovery suggestion thus guides a user as to how to maximize a likelihood that a digital image captured by the user includes subject matter of interest to the user and is also visually pleasing.

Abstract: A method, in particular, a computer-implemented method, for operating a device. The device is designed to carry out transactions via at least one state channel associated with a distributed ledger technology (DLT) system.

Abstract: In one implementation, systems and methods are provided for collecting and sharing digital experience information.

Abstract: Methods for replicating transactional tables of a transactional database to an analytical database and maintaining updates to those transactional table representations are disclosed. Snapshots of the transactional tables are provided to the analytical database via a transport mechanism, such as a data storage service or a data streaming service, and stored at the analytical database. Then, checkpoints comprising portions of a change-data-capture log that has recorded transactional changes to the transactional tables of the transactional database are provided to the analytical database via the same or different transport mechanism and used to commit those transactional changes to the snapshot representations. The snapshot representations may be used to respond to incoming analytical queries in order to provide real-time querying results.

Abstract: Systems and methods are provided for receiving an updated data set from a backend server system, determining a visible set of data in a user interface displayed on a computing device, and processing, based on the updated data set from the backend server system, each row tuple in the visible set of data in the user interface to generate updated row tuples. The systems and methods further provide for determining one or more data cell that has been changed in the visible set of data corresponding to the updated row tuples, and rendering, in the user interface, only the one or more data cell that has been changed corresponding to the one or more row tuple to update the one or more data cell in the user interface displayed on the computing device.

Abstract: Anomalous interactions with a website or other system may be detected based on the types of characteristics associated with previous anomalous interactions, independent of the values associated with those characteristics. Historical data is used to determine characteristics of interactions, each characteristic having a type and a value. For historical interactions in which a set of characteristic values are associated with a potentially anomalous interaction, the characteristic types are analyzed in subsequent interactions. If values for those characteristic types occur at a frequency greater than a threshold frequency for a set of subsequent interactions, this may indicate that the interactions are anomalous. Use of the characteristic types for this purpose, rather than historical characteristic values, enables anomalous interactions to be detected independent of the characteristic values associated with the interactions.

Abstract: The inventive concept provides a method for processing data generated at a substrate treating. The method includes dividing the data according to each process of the substrate treating; and converting the divided data to a same size. In an embodiment, converting the divided data t a same size comprises converting the divided data to the same size using an ID convolution.

Abstract: Non-communicable diseases (NCDs) are the pandemics of modern era and are generating huge impact in the modern society. Conventional methods are inaccurate due to a challenge in handling data from heterogenous sensors. The present disclosure is capable of tracking fitness parameters of a user even with heterogenous sensors. Initially, the system receives a raw data from a plurality of heterogenous sensors associated with the user. The raw data is further transformed into a metadata format associated with the corresponding sensor. The transformed data is temporally aligned based on a time based slotting. An algorithm pipeline corresponding to a disorder to be analyzed is selected from a Directed Acyclic Graph (DAG) based on a sensor metadata and a plurality of algorithm metadata corresponding to a plurality of algorithms stored in an algorithm database and an algorithm pipeline. The corresponding disorder is analyzed using the algorithm pipeline.

Abstract: Disclosed herein are system, method, and device embodiments for a data bridge adapter in a data integration platform that models any application programming interface as an entity-relationship model. This technique allows an individual using an integration platform to map and transform the entity-relationship model without having to create any custom code. The user may specify target parameters as part of an ETL process, and the entity relationship model may allow appropriate data and API calls to be generated to pass the data to the specified target. By creating an entity-relationship model from any API, the technique further supports versioning, schema change resolution, compatibility detection and other features. Furthermore, data visualization software may use the entity-relationship model to allow users to explore and analyze the data represented in the entity-relationship model.

Abstract: Methods, systems, and devices are described for configuration of multiple power distribution units (PDUs) in an efficient manner. Power distribution units may be discovered on a network, and automatically configured according to a configuration defined for a particular location. A location may be, for example, a geographical region, a data center, a zone within a data center, a cabinet, or an individual PDU. All PDUs associated with a particular location may be provided with a common configuration file that defines operating parameters for the PDUs. In such a manner, a user may simply connect the PDU to the network, with the appropriate configuration provided without additional involvement of the user.

Abstract: A system and method is provided for selecting a backup plan based on sampled metadata. An exemplary method includes sampling metadata of files on a computer during a predetermined time interval and predicting file usage dynamics for a time interval subsequent to the predetermined time interval, based on a combination of the derivative features and the attributes of the metadata, wherein the predicted file usage dynamics indicate how the files will be utilized on the computer during the time interval. The method includes identifying on the computer at least one newly stored file, selecting a backup plan for the at least one newly stored file based on the file usage dynamics, and backing up the at least one newly stored file to a storage server according to the selected backup plan.

Abstract: A system and method for execution context processing with addressable universal data location that can address, process, and standardize data contained in different types of memory structures is presented. The present disclosure provides for an addressable data locator system called an Execution Context Property Path (XPP) that can access a ‘property’ within a ‘Property Collection,’ a ‘property’ within a graph of nested ‘Property Collections,’ or a ‘property’ within an array of ‘Property Collections.’ An execution context is a dynamic system that can change the processing logic and data requirements of functions at runtime by passing a ‘function’ a reference to an ‘execution context’ object and have the function retrieve the data items it needs through the ‘execution context’ object. For example, when new ‘input data’ is received on a listener, the listener can spawn a new thread and an ‘execution context’ object to manage the processing of the ‘input data.

Abstract: Systems and methods for improving computational efficiency of data processing and storage are disclosed. The system can identify computing devices capable of performing a data transformation process on a data feed of a data repository, and determine an amount of computational resources needed to perform the data transformation process on the data feed based on attributes of the data feed and computational resources used to process historic processing jobs associated with the data feed. The system can dynamically provision, while performing the data transformation process, a subset of the computing devices based on the amount of computational resources, and execute the data transformation process at the subset of the plurality of computing devices to process the data feed. The system can dynamically re-provision the subset of the plurality of computing devices based on a change in the attributes of the data feed.

Abstract: A server can receive a request to subscribe to a data tenancy in an extended region. The server can determine a size of stored data records associated with the data tenancy in a home region to be replicated in the extended region. Based in part on the size of the stored data records, the server can open a new communication channel dedicated to replicating the stored data records from the first server in the home region to the second server in the extended region. The server can pull the stored data records from the first server in the home region, store the pulled data records on the second sever in the extended region. The server can receive updated data records over an established communication channel between the first server in the home region and the second server in the extended region and store the updated data records on the second server.

Abstract: A system and method is provided for selecting a backup plan based on sampled metadata. An exemplary method includes sampling metadata of files on a computer during a predetermined time interval, wherein the files are backed up to a storage server in accordance with a first backup plan. The method includes predicting file usage dynamics for a time interval subsequent to the predetermined time interval, based on a combination of the derivative features and the attributes of the metadata, and comparing the predicted file usage dynamics for the time interval with file usage dynamics of the predetermined time interval. In response to determining that a difference between the predicted file usage dynamics and the file usage dynamics of the predetermined time interval exceeds a threshold difference, the method includes selecting a second backup plan for the files, and backing up the files to the storage server accordingly.

Abstract: The present disclosure describes hybrid transactional and analytical processing (HTAP) techniques. A HTAP system comprises a first processing engine configured to perform online transactional processing, a second processing engine configured to perform online analytical processing, and a storage in communication with the first processing engine and the second processing engine. The first processing engine, the second processing engine, and the storage may be modularized and configured to be decoupled from each other. The system may be configured to capture data by the first processing engine in real time, organize the data in a first format in a first part of the storage for use by the first processing engine, propagate the data to a second part of the storage subsystem, and organize the data in a second format in the second part of the storage for use by the second processing engine.

Abstract: The disclosed systems and methods may receive a data record from either a legacy data source or a modern data source and determine whether the record satisfies a first set of validation rules. When the record fails to satisfy the first set of rules, reject the record for storage in a data store. When the record satisfies the first set of rules, determine whether the record satisfies a second set of validation rules. When the record satisfies the second set of rules, store the record in the data store with an indicator that the record satisfies the all rules. When the record fails to satisfy the second set of rules, if the source was a modern data source reject the record, and if the source was a legacy data source store the record in the data store with an indicator that it fails to satisfy the second set of rules.

Abstract: One example method includes measuring a journal distribution lag of a journal, evaluating a first operational measure at a production site, and evaluating a second operational measure at a replication site operable to communicate with a production site, based on the journal distribution lag, and the evaluation of the first operational measure and the second operational measure, determining a scale out for a consistency group of the replication site, and implementing the scale out of the consistency group.