Abstract: Targetless snapshots of a storage object are characterized in terms of likelihood of access using time-series analysis. Metadata of replication data structures of individual targetless snapshots is maintained in either uncompressed or compressed form based on the characterization of the targetless snapshot. Metadata is compressed at the page level, with same-pages of all replication data structures of cold snapshots of a storage object being compressed together. Compressed pages of targetless snapshot metadata are maintained of storage devices selected based on storage device performance and the time-series characterization of the targetless snapshot.

Abstract: A method and system for automatically generating a data determining result includes an acquisition end sending a data acquisition module to a plurality of user terminals, and sending the first data fed back by the user terminals on the data acquisition module to an analysis end. The analysis end generates a display manner of the data determination result on the basis of a configuration condition. The display manner includes analysis items, a first operation logic for determining analysis values of the analysis items and/or a second operation logic for determining cross analysis values of different analysis items. The analysis end determines the analysis value of the analysis items and/or the cross analysis value of the different analysis items in the display manner from the first data, and generates a data determination result.

Abstract: Disclosed are embodiments for providing batch performance using a stream processor. In one embodiment, a method is disclosed comprising receiving, at a stream processor, an event, the stream processor including a plurality of processing stages; generating, by the stream processor, an augmented event based on the event, the augmented event including at least one additional field not appearing in the event, the additional field generated by an operation selected from the group consisting of a join or dimensional annotation operation; and emitting, by the stream processor, the augmented event to downstream consumer.

Abstract: System (100) comprising several edge computing devices (ECD), each one comprising a sensor (S), a memory (M), a Central Processing Unit, CPU and a digital communication interface (IF) allowing digital communication digitally across a network (NW). The invention is characterised in that each device is arranged with a respective interpreting software function, arranged to interpret computer code, received via said interface and stored in said memory, according to a query language having a predetermined syntax; in that said syntax is arranged to define queries the results of which are streams of data; in that each device is arranged to produce a result to at least one query and to communicate said result via said interface, in that said syntax allows said query to be defined in terms of a calculation to be performed based on a measured value from said sensor, and in that the device in question is arranged to perform, as a part of said interpretation, said calculation. The invention also relates to a method.

Abstract: Data is processed in a distributed computing environment with at least one server and a plurality of clients comprising at least a first client and a second client. The first client sends a first request to the server to obtain result data, receives raw data from the server as a response to the first request, processes the raw data to obtain the result data and stores the result data, and sends the result data to the second client in response to receiving a third request to obtain the result data from the second client.

Abstract: One example method includes refreshing secondary or repurposed copies. A copy data management system issues a single request that allows multiple secondary copies to be refreshed using an API server. The server allows a storage controller to read data from a single source and then write the data read from the source to multiple targets simultaneously, thereby refreshing multiple copies in parallel.

Abstract: Various embodiments for a data management system for managing inferences are described herein. An embodiment operates by detecting a signal to perform a replication task. Parameters corresponding to the replication task are identified. The replication task is configured to at least partially replicate a source data table from a source repository to a target data table in a target repository, based on the parameters. It is determined that a columnar structure of a first column of the source data table including data to be replicated matches a columnar structure of a second column of the target data table where the data is to be replicated to. The replication task is executed responsive to the determination of the matching structures, the replication task including performing one or more arithmetic operations on the data.

Abstract: A system includes several edge computing devices. Each edge computing device includes a a sensor, a memory, a central processing unit (CPU), and a digital communication interface, for communication across a network. Each edge computing device has a respective interpreting software function, arranged to execute on the CPU and to interpret computer code, received via the digital communication interface and stored in the memory, according to a query language having a predetermined syntax. The syntax defines queries the results of which are streams of data. A first software function poses a first query to a second edge computing device. A second software function generates and communicates, in response thereto, a second stream of data. The first software function preprocesses the second stream so that it adheres to a predefined global data ontology, and performs a first calculation using the second stream.

Abstract: An integrated asynchronous interface for data retrieval from across a plurality of data sources is described. An interface may include a plurality of Application Programming Interfaces (APIs) as well as a database for constructing responsive data. A search request may be decomposed at the interface to sub-search requests to be distributed to multiple data sources via a search request API. Data responsive to the sub-search requests may be aggregated at an interface database. A status API may maintain a status of the search request, and can update a tenant regarding the status of the tenant's search request. A response API may be used to provide reconstructed data responsive to the search request from the interface database to the tenant.

Abstract: Methods and systems are presented for detecting groups within a graph using computer-based multi-threading techniques. These techniques provide technical improvements in computing power and efficiency for analysis of large graphs. A group detection system accesses a graph. Threads are instantiated to perform task related to a group detection process based on the nodes in the graph, where a thread is instantiated for a corresponding node. Each thread determines a neighbor count representing a number of neighbor nodes having one degree of separation from the corresponding node. Each thread also generates a list comprising an identity of the corresponding node and identities of the neighbor nodes. The thread transmits the list only to threads corresponding to a first subset of the neighbor nodes having more neighbors than the corresponding node, but not to threads corresponding to a second subset of the neighbor nodes having less neighbors than the corresponding nodes.

Abstract: Methods and systems are described herein for facilitating data integrity processes using measures of statistical dispersion (e.g., gini impurities) of dataset features. The described mechanism may be also be used for selection and dimensionality reduction. Dimensionality reduction may enable storing the dataset using less storage space or performing other operations on the dataset using less resources. In some embodiments, the above described mechanism may be used for supervised categorial clustering and/or categorical classification.

Abstract: Disclosed are various embodiments for asynchronously generating consistent snapshots in a distributed system. In one embodiment, a snapshotting agent receives a respective local snapshot for individual processes in a distributed system. The respective local snapshot for a corresponding process includes a corresponding vector clock that comprises respective values indicating respective state changes in the corresponding process and other processes. The snapshotting agent determines whether a collection of the respective local snapshots for the individual processes represents a global consistent snapshot for the distributed system based at least in part on a comparison of the respective values of the corresponding vector clocks.

Abstract: A process of fulfilling a database deployment request for a data platform. A compute service manager of the data platform scans one or more accounts of a consumer region of the data platform for a pending listing fulfillment request, where the pending listing request includes a request for deployment of a consumer database and an associated share of grant metadata of the consumer database within the consumer region. When the compute service manager determines that an account of the one or more accounts has a pending listing fulfillment request, the compute service manager determines a listing for the pending listing fulfillment request based on listing data of the account. The compute service manager determines that no other fulfillment task is scheduled for the pending listing fulfillment request and schedules a background fulfillment task to perform the fulfillment process for the pending listing fulfillment request.

Abstract: The present disclosure involves systems, software, and computer implemented methods for configuring graph query parallelism for high system throughput. One example method includes receiving a query to be executed against a graph database. System properties are determined of a system in which the query is to be executed. Algorithmic properties are determined of at least one algorithm to be used to execute the query. Graph data statistics are determined for the graph database. Graph traversal estimations are determined for a first iteration of the graph query and an estimated cost model is determined for the first iteration based on the graph traversal estimations. Estimated thread boundaries are determined for performing parallel execution of the first iteration. Work packages of vertices to be processed during the execution of the first iteration are determined based on the first estimated cost model and the work packages are provided to a work package scheduler.

Abstract: A hardware-implemented file reader includes an interface, multiple hardware-implemented column readers and a hardware-implemented record reconstructor. The interface is configured to access a file including multiple records. The records store values in accordance with a nested structure that supports optional values and repeated values. The file is stored in a columnar format having multiple columns, each column storing (i) compressed values and (ii) corresponding compressed structure information that associates the values in the column to the nested structure of the records. Each column reader is configured to be assigned to a respective selected column, and to read and decompress both the values and the structure information from at least a portion of the selected column. The record reconstructor is configured to reconstruct one or more of the records from at least portions of the columns that are read by the column readers, and to output the reconstructed records.

Abstract: Techniques are described herein for prediction of an buffer pool size (BPS). Before performing BPS prediction, gathered data are used to determine whether a target workload is in a steady state. Historical utilization data gathered while the workload is in a steady state are used to predict object-specific BPS components for database objects, accessed by the target workload, that are identified for BPS analysis based on shares of the total disk I/O requests, for the workload, that are attributed to the respective objects. Preference of analysis is given to objects that are associated with larger shares of disk I/O activity. An object-specific BPS component is determined based on a coverage function that returns a percentage of the database object size (on disk) that should be available in the buffer pool for that database object. The percentage is determined using either a heuristic-based or a machine learning-based approach.

Abstract: Processing inputs to electronic list systems. Receiving, from a user device, a user input. Parsing the received user input for at least one of {product genus, product subgenus, product name, brand name, price information, retailer name, manufacturer name}. Querying a history of user activity using the parsed input. Receiving at least one product description responsive to the query. Presenting, via the user device, each received at least one product description to the user.

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: To promote data utilization by providing processed data while leaving a trail that is hardly falsified. A data management server 2000B receives an analysis request, executes an analysis program 2500B, and transfers the analysis request to a data processing server 3000, allowing second data resulting from processing first data to be saved in storage (8160). The data management server 2000B further receives the notification of having processed the first data from the data processing server (8190), generates a transaction indicating the first data having been processed according to the analysis request (8050), and adds the verified transaction as a record in a processing/usage trail management table 11000 as one of distributed shared ledgers (8070).

Abstract: Systems, computer program products, and methods are described herein for synchronizing dataflow migration between technical environments. The present invention is configured to identify one or more resources in a source environment for migration from the source environment to a target environment; capture, using a resource assessment engine, one or more dependencies associated with the one or more resources; generate a migration load based on at least the one or more resources identified in the source environment and the one or more dependencies associated with the one or more resources; generate a snapshot of the source environment based on at least the migration load, wherein the snapshot comprises at least the one or more resources and the one or more dependencies; and store the snapshot of the source environment in a snapshot database repository.