Abstract: Systems and methods for supporting both batch processing and streaming data applications, to load and process data incrementally, while providing a near-constantly materialized dataset based on raw blockchain data, are described. For example, the system may receive first on-chain data in a first format via a first input stream, wherein the first on-chain data originates from a blockchain node of a blockchain network. The system may transform the first on-chain data to a second format for storage in a second dataset, wherein the second format comprises an unbounded table.

Abstract: Systems and methods for a unified approach that is compatible with all blockchains, protocols, etc. The systems and methods use a bifurcated indexing system with a dynamically selected application service. The systems and methods bifurcate the indexing process into a storage layer and a compute layer.

Abstract: Systems and methods are provided for collecting and sharing digital experience information. A system for collecting and distributing digital experience information may comprise a digital experience application that may be configured to host a plurality of micro-applications, a first micro-application being able to be configured to detect application events and application states; a connector that may be configured to receive information corresponding to detected application events and application states and belonging to a category; an event backbone that may be configured to route the information received by the connector based on the category; a database that may be configured to store the received information; wherein the event backbone may be further configured to send information to the connector from the event backbone and the database based on one or more criteria; and wherein a second micro-application may be configured to receive information belonging to the category from the connector.

Abstract: A computer-implemented method that includes receiving an ingestion request to ingest data to a database comprising physical shards and detecting that the ingestion request is directed to a first hotspot shard. The first hotspot shard has a contention level over a threshold value. The method also detects context characteristics within the data and generates a first virtual shard based on a first virtual shard key selected from the detected context characteristics. The first virtual shard virtually duplicates at least a portion of the first hotspot shard. The method also includes ingesting the data to the first virtual shard.

Abstract: A computer extracts from contact records that each include a contact identifier, a group identifier for each group with which the contact has had an interaction, and interaction information that indicates a number of interactions and a timing of a most recent interaction. The contact data records are processed to generate a contact profile record for each contact including group metric values and a corresponding value for each group metric value based on an interaction history of groups the contact has interacted with. An interaction analytics databases stores a set of contact profile records and group profile records for groups that include metric values associated with the group and an interaction history. They are processed with at least thousands of the contact profile records to determine group-contact compatibility factors. A compatibility parameter is generated and communicated for each of at least thousands of contacts based on the group-contact compatibility parameters.

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: Systems, methods, and non-transitory computer readable media are provided for providing a redundancy tool for performing transactions. A transaction to be performed on a data stored in a database may be received. A timestamp may be assigned to the transaction. A lock may be assigned on the timestamp. The transaction may be performed on the data. The lock may be refreshed while performing the transaction on the data. A validity of the lock may be checked at after performing the transaction on the data. Responsive to the lock being valid, a result of performing the transaction on the data may be committed.

Abstract: A system for generating approximately coordinated region maps (RM), the system comprising a processing resource configured to: provide a data repository comprising one or more RMs, each mapping a corresponding region, and each including information of a relative location of synchronization objects (SOs) located within the corresponding region with respect to a coordinate-system (CS) origin of a CS of the corresponding RM; obtain a given RM including information of relative locations of given SOs located within the given region with respect to a given CS origin of a given CS of the given RM; retrieve, from the data repository, reference RMs that meet a criteria; identify the reference RMs associated with at least one SO that match at least one of the given SO, giving rise to optimization RMs; and determine, utilizing an optimization scheme, an approximate transformation between the given CS and the CSs of the optimization RMs.

Abstract: Systems and methods are presented herein for dynamic mapping and integration between one or more software applications via a meta-model definitional application platform. This may comprise receiving from a target system an at least one input data object or request; loading an at least one meaningful data object from a meta-model definitional application platform into a memory, the at least one meaningful data object containing one or more definitions; identifying, via a queue service manager, an integration type definition of the at least one input data object or request; loading, based on the integration type definition, the target specific mapping definition; preparing the at least one input data object or request for processing; generating an integration worker for transforming in sequence of the target specific mapping definition, where the transformations are done according to the one or more definitions; generating and transmitting, an at least one output data object.

Abstract: Methods and systems for generating an integrated structure for the data from disparate data domains that may be used to aggregate, compare, and/or provide recommendations based on the data available from the disparate domains. The integrated structure may further be accessible to users to perform functions (e.g., searches, filtering operations, etc.) in real-time and receive outputs (e.g., in a user interface).

Abstract: Methods, systems, and media for generating a group of media content items are provided. In some embodiments, the method comprises: receiving, from a server, a plurality of media content items; storing, on a user device, the plurality of media content items; determining, by the user device, whether to request a clustering of the plurality of media content items; in response to determining that a request for clustering the plurality of media content items is to be made, transmitting the request to the server, wherein the request includes indications of the plurality of media content items; receiving, from the server, a plurality of clusters corresponding to the plurality of media content items; and causing indications of the plurality of media content items to be presented in a user interface on the user device, wherein the indications of the plurality of media content items are organized based on the plurality of clusters.

Abstract: Various technologies described herein pertain to automated data splitting using predictive program synthesis. Input-only examples for splitting an input column of an input data set can be received. The input-only examples can include example entries from the input column of the input data set to be split into multiple output columns without specification of how the example entries are to be split into multiple output columns. Further, a program for splitting the input column of the input data set into the multiple output columns can be synthesized based on the input-only examples. The program can be synthesized, given the input-only examples, in a domain-specific language (DSL) for splitting an entry into a tuple of fields utilizing a predictive program synthesis algorithm. Moreover, the program can be executed on the input data set to split the input column of the input data set into the multiple output columns.

Abstract: Embodiments of the present invention provide a computer system a computer program product, and a method that comprises converting received data from a time-based domain to a frequency-based domain using a signal processing algorithm; identifying transactional noise within the converted data by identifying contextual factors based on a determined pattern, wherein the transactional noise is data associated with an identified fraudulent transaction; filtering the identified transactional noise by removing datapoints within the converted data that reaches a predetermined threshold of signal strength using the signal processing algorithm; and generating a line graph depicting removal of the data that is indicative of the identified transactional noise from the converted data.

Abstract: Implementations include setting a session variable of each of a plurality of tenants to a first timestamp, importing, after the first timestamp, a first set of content to a shared container within a database system, during importing, each tenant in the plurality of tenants accessing pre-import data stored in the shared container based on the session variable being set to the first timestamp, and after importing the first set of content to the shared container, un-setting, at a second timestamp, the session variable of each of the plurality of tenants from the first timestamp, after the second timestamp, each tenant in the plurality of tenants accessing post-import data stored in the shared container.

Abstract: A system for facilitating upload file optimization via transaction transformation. A request is received for an operation to upload a file to the cloud. The system bypasses a transaction processing (sub)system and attempts to upload the file to a staging area of the cloud. When the upload transaction is ready to be executed, the system determines an upload status of the file. The system transfers the file from the staging area to an intended destination if the file has been uploaded to the staging area. If the file is not yet uploaded to the staging area, the system determines if an upload operation failed. If an upload operation did not fail, the system waits for the upload to finish prior to transferring the file to the intended destination. If the upload operation did fail, the system uploads the file to the intended destination.

Abstract: Methods and systems for managing data collection in a distributed system are disclosed. The system may include a data aggregator and a data collector. The data aggregator may aggregate data collected by the data collector. To reduce the computing resources used to aggregate data, the data aggregator and data collector may implement a multi-stage data reduction processes to reduce the quantity of data transmitted for data aggregation purposes. The multi-stage data reduction process may include implementing twin inference models at the aggregator and collector, identifying relationships in the data collected by the data collector, transmitting a portion of the collected data to the data aggregator based on acceptable level of error for use of the collected data, and reconstructing the un-transmitted portion of the collected data at the aggregator. The reconstructed portion of the collected data may include the acceptable level of error.

Abstract: Embodiments provide systems, methods, and apparatus for reducing the impact of user-entered data errors in a data management system (DMS) such as for diabetes. Embodiments include storing user-entered data received from a user into a primary DMS database; storing secondary data received from a source other than the user into a secondary tracking database; associating the secondary data with one or more events described by the user-entered data; cross-checking the user-entered data against the associated secondary data; evaluating user-entered data based on the cross-checking results; presenting for review evaluated user-entered data; treating user-entered data in the primary DMS database based on review results; and determining a diabetes management plan based on the treated user-entered data. Numerous other aspects are provided.

Abstract: Systems and methods are provided for data synchronization for client application generated data. Content may be generated by a client application executed by a creator client device and sent to a server system that may distribute the content to one or more additional client devices of recipients of the content. The server system can push content to the recipient client devices without receiving a request for the content from the recipient client devices. The content generated by the creator client device may be stored by each of the creator client device, by the server system, and by the one or more recipient client devices. The server system may also generate version data related to respective versions of content that may be consumed by a client application. The version data may be used by client devices to determine versions of content that may be missing from the client devices.

Abstract: A system and a method for adjusting an order of parsing rules for routing incoming security logs to log normalization routines that are used for processing large volumes of security incident event data are provided. The method includes: sequentially applying, in a first order, a set of parsing rules to each of a first set of logs to determine destinations that correspond to log normalization routines for reformatting into a common format; determining whether an efficiency of the application of the parsing rules would be increased by reordering into a second order; and reordering the set of parsing rules into the second order based on the determination, so that the parsing rules will be sequentially applied to the next set of logs based on the second order thereof. The efficiency determination is based on volumes and complexities of various log types.