45 results about "Operational data store" patented technology

A Customer Relationship Management (CRM) system includes a CRM Client, CRM Engine, and Relational Database Management System (RDBMS). The CRM Client, CRM Engine, and RDBMS integrate a suite of services that allow users to plan, manage, and execute promotional or marketing campaigns, build customer segments, score customers, and analyze customer behavior, product purchases, and response to promotional campaigns. The services include an automated Analytic Data Set Creation service, which simplifies and automates the process of creating analytic data sets useful for modeling and analysis out of operational data stored in the relational database, and a Response Modeling service, which automatically creates promotion response models to score individual customers based on that model in order to predict which customers are most likely to respond to a future promotional campaign.

A method and apparatus for transporting data for a data warehouse application is described. The data from an operational data store (the source database) is organized in non-overlapping data partitions. Separate execution threads read the data from the operational data store concurrently. This is followed by concurrent transformation of the data in multiple execution threads. Finally, the data is loaded into the target data warehouse concurrently using multiple execution threads. By using multiple execution threads, the data contention is reduced. Thereby the apparatus and method of the present invention achieves increased throughput.

A data recording unit 60 for managing operating situations of a hydraulic excavator 1 comprises a RAM 67 for taking in and storing plural kinds of operational information regarding the hydraulic excavator 1 as operational data, and a CPU 65 for extracting top priority operational data from among the plural kinds of operational data stored in the RAM 67, and transmitting the extracted data to the supervising side via satellite communication. Top priority data among the plural kinds of operational data of the hydraulic excavator, which may bring the hydraulic excavator into rest, can be presented to a supervisor of the hydraulic excavator, etc.

Systems and methods are provided for synchronizing operational data records in a manner that reduces redundant copying of data. A set of operational data records is stored, wherein each data record is assigned a unique ID in ascending order based on a creation time of the data record. A highest unique ID is identified from the operational data records in the set of operational data records. A tolerance number is identified that is indicative of a range of unique IDs that can be processed at a same time such that it cannot be guaranteed that that operational data records with unique IDs separated by less than the tolerance number were assigned unique IDs in the order that the operational data records were created. A synchronization ID is calculated comprising subtracting the tolerance number from the highest unique ID. The synchronization ID is transmitted to the source operational data store.

A ventilator with memory for operating data has a control unit for a breathing gas source. The operating data memory is provided to store the current changeable operating data. The control unit is provided with a data-saving function which stores the current operating parameters during an intermission in the operation of the device. The control unit also has a memory readout function, by which the stored operating data can be read out after the end of an intermission to allow the ventilator to resume operation in correspondence with the saved operating data.

In one embodiment, a method an apparatus for managing a system comprising at least one operational data store and a data warehouse that is associated with at least some of the data in the operational data set, comprising automatically updating the schema of the data warehouse to reflect a change to the schema of the at least one operational data store. In a further embodiment, a method and apparatus for requiring that a designer of a database system provide metadata that defines changes to be made to a data warehouse in response to a modification of an area in an operational store. In another embodiment, a method and apparatus for detecting schema changes to an operational store, so that appropriate action may be taken in a data warehouse. In a further embodiment, a method and apparatus for implementing changes to a data warehouse schema, comprising the execution of one or more lower level calls to appropriate APIs to modify the schemas of both a relational database and an OLAP database.

A removable media data storage system with a memory for storing operational data regarding a removable media. In some examples, the operational data stored includes utilization data and / or system data. In some embodiments, the operational data is stored in a non-volatile IC based memory such as e.g. MRAM. In some examples, the memory can store multiple sets of operational data with one set for each removable media that has been inserted into the data storage system. The data system may include a processor operably coupled to the memory, wherein the memory and processor are located on a circuit board in the data system housing.

Solutions for reducing latencies in enterprise operations and business processes adaptation particularly as related to enriched publish and subscribe are proposed by the present invention. These solutions are implemented in a zero latency enterprise (ZLE) framework that allows the enterprise to integrate its services, applications and data in real time. Namely, an enterprise equipped to run as a ZLE is capable of integrating, in real time, its enterprise-wide data, applications, business transactions, operations and values. An operational data store operates as an information broker between the applications such that applications publish messages to the central repository and subscribe to messages from the central, rather than exchange request-response messages directly with each other. Thus, enriched publish and subscribe improves information synchronization between applications and reduce the number of request-response messages the applications would otherwise exchange. Consequently, an enterprise conducting its business as a ZLE exhibits superior management of its resources, operations and customer care.

A Customer Relationship Management (CRM) system includes a CRM Client, CRM Engine, and Relational Database Management System (RDBMS). The CRM Client, CRM Engine, and RDBMS integrate a suite of services that allow users to plan, manage, and execute promotional or marketing campaigns, build customer segments, score customers, and analyze customer behavior, product purchases, and response to promotional campaigns. The services include an automated Analytic Data Set Creation service, which simplifies and automates the process of creating analytic data sets useful for modeling and analysis out of operational data stored in the relational database, and a Response Modeling service, which automatically creates promotion response models to score individual customers based on that model in order to predict which customers are most likely to respond to a future promotional campaign.

The invention is applicable to the technical field of medical data and provides a data warehouse based medical data integration method and system. Source data of a hospital end are acquired, stored to an ODS (operational data store) layer in a data warehouse and subjected to standardized operation, and the standardized data and the source data are combined to be loaded into a data warehouse dimension table and a fact table, so that access pressure of a hospital server is relieved. Meanwhile, parameter values are set to replace abnormal data for data loading, and after dimension data of the source data are changed, the loaded dimension data are updated automatically, so that data verification update can be performed automatically when the data are abnormal, the abnormal data can be processed in a single-node manner, batch reprocessing is not needed, and processing efficiency is improved.

A data recording unit 60 for managing operating situations of a hydraulic excavator 1 comprises a RAM 67 for taking in and storing plural kinds of operational information regarding the hydraulic excavator 1 as operational data, and a CPU 65 for extracting top priority operational data from among the plural kinds of operational data stored in the RAM 67, and transmitting the extracted data to the supervising side via satellite communication. Top priority data among the plural kinds of operational data of the hydraulic excavator, which may bring the hydraulic excavator into rest, can be presented to a supervisor of the hydraulic excavator, etc.

A data recorder is configured to be mounted to a line replaceable unit (LRU) and utilized in conjunction with a service monitor. The data recorder includes a memory, a processor coupled to the memory and configured to store operational data pertaining to the LRU in the memory, and a monitor interface coupled to the memory. The monitor interface is configured to be coupled to the service monitor to permit access to the operational data stored in the memory.

The present teaching relates to a method, system and programming for operating a data storage. The data storage comprises of different portions including: a first portion having a plurality of metadata objects stored therein, each of the metadata objects being associated with a filter and corresponding to a range of keys, wherein at least one of the metadata objects is associated with a data structure, and a second portion having a plurality of files stored therein, each of the plurality of files being associated with one of the plurality of metadata objects; The data storage synchronizes a scan request with respect to one or more write requests based on a parameter associated with the scan request and each of the one or more write requests.

The invention relates to a teaching aid for physical experiment teaching, in particular to a WEB-based interactive physical experiment teaching device and a control method thereof. The device consists of a client end module subsystem and a server end subsystem, wherein the client end module subsystem consists of a three-dimensional instrument display module, an interactive operation data processing module, a client end effect processing module, a local temporary operation data memory, and an interactive operation result data transmission module; and the server end subsystem consists of a service data processing module, a server end data memory module and a numerically controllable physical experiment instrument. During control, a VRML client end sends a request for virtual three-dimensional data to the server, the server returns the data after verification, and the VRML processing program at the client end displays the results at a client end interface and judges whether the client end finishes the operation. The method solves the defect that CAI experiment teaching lacks simulated interaction, thereby realizing interactive three-dimensional physical experiment and simulation, and improving teaching effects.

The invention provides idealized and reusable data source interfaces. The process of idealizing includes reengineering of the original data model using a surrogate key based model. The technique emphasizes readability and performance of the resulting operational data store.The invention provides a unique method for handling changes that allows all types of changes to be automatically implemented in the operational data store by table conversion.Further the invention provides Inline materialization that supports a continuous data flow dependency chain. The continuous dependency chain is used to provide automated documentation as well as dynamic paralleled transformation process.Finally master data integration is provided as a benefit of architecture and the inbuilt surrogate key based data model. The feature implements integrations by specification rather than by programming.

In an example implementation, the method includes automatically determining whether a computer system is located on-premises of a health service provider or on a multi-tenant cloud. The method includes communicatively coupling with health service provider data sources via a local network and extracting health service provider data from them. The health service provider data may include protected health information (PHI) and non-PHI data. The method includes storing the PHI data and the non-PHI data in an on-premises operational data store that is located on-premises of the health service provider. The method includes obtaining data analytics based on the PHI data and the non-PHI data stored in the on-premises operational data store. The method also includes communicatively coupling with a multi-tenant cloud via a global network and synchronizing the non-PHI data in the on-premises operational data store with the multi-tenant cloud via the global network.

A method for processing operational data comprises the steps of acquiring operational data of a user at a client side; transmitting the acquired operational data to a server; judging whether transmission of the operational data is successful, if not, storing said operational data in the local client side; detecting a network status; and transmitting the operational data stored in the local client side once again when the network status reflects that the client side and the server can be connected or transmission speed between the client side and the server is recovered to a speed threshold. According to the operation data processing method and device, the operational data are stored in the local client side and are transmitted once again in accordance with the network status in the case of failed transmission of the operational data, so that the operational data in transmission failure cannot be lost, and the occurrence of operational data loss is reduced.

The invention discloses a data storage realization method and a data warehouse, which can lower resource consumption when an ODS (Operational Data Store) is realized. The method comprises the following steps of: judging whether service system data corresponding to a data object is updated or not when a user accesses the data object; extracting the updated service system data to serve as operational data under the condition of updating; and updating the data object accessed by the user via the operational data and enabling the updated data object to be available for the user access. With the invention, on the one hand, the data object accessed by the user can be ensured to be the updated data, on the other hand, the resource waste can be avoided when the data is extracted at regular timie, and particularly the problem of numerous resource waste in real-time situation can be avoided, thereby saving resources on the condition that the realization of the ODS function is ensured, and particularly saving numerous resources under the condition that the I-type ODS is realized.

A transmission timing control section latches operational data received from an operating section in timing corresponding to a channel set in a channel setting section, compares the latched operational data and last operational data stored in a temporarily storage section and judges whether or not the latched operational data is identical with the last operational data. In case of the judgment for those to be identical with each other, no transmission instructing signal is outputted, and the transmission of the communication data is stopped in that timing. In case of the judgment for those not to be identical with each other, a transmission instructing signal is outputted from the transmission timing control section to a transmitting section to transmit the communication data in that timing.

A method of operating a communications network is disclosed. In order to manage a network, it is first necessary to establish the state the network is in. This is difficult in practice because the network operational data stored and transmitted in the network takes a myriad of forms owing to the variety of suppliers and types of network equipment. There is a need to distil that network operational data down to aggregate network operational data which can be taken to provide an indication of the state of the network which is of a manageable size, and to which network management apparatus can react by sending control commands to the network. The problem of generating aggregate network operational data is difficult because of the heterogeneity of network operational data items. By finding attribute names in different network operational data items which match one another, and then comparing attribute values provided from those matching attribute names, a comparison of heterogeneous network operational data items is enabled. This enables the production of network aggregate data which more accurately reflects the operational state of the network. This in turn leads to the network management apparatus controlling the network to operate in a more efficient manner than has hitherto been possible.

An apparatus for the generation of exploitation data is disclosed. The apparatus comprises at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive a plurality of entity profiles from a plurality of entities, wherein each of the plurality of entity profiles comprises a plurality of operational data. The memory instructs the processor to identify demand data as a function of the plurality of entity profiles. The memory instructs the processor to generate exploitation data as a function of the operational data and the demand data. The memory instructs the processor to determine collaboration data as a function of the exploitation data. The memory instructs the processor to display the collaboration data using a display device.

This system provides a work support system that allows for training in the operation of a work machine in a simulated environment, even if there is no operational data recorded when a specific task or task using a specific function is performed. [Solution] The server 13 extracts specific operational data from the operational data stored in the database 11, generates an initial simulation video to start training for the virtual excavator 15 and the virtual construction site 14 based on the specific operational data, and outputs an operation simulation video to the first output interface 10b that reflects the operation of the virtual excavator 15 and the changes in the virtual construction site 14 corresponding to the operation of the virtual excavator 15 in the initial simulation video.

The invention provides a Bluetooth remote control device and a configuration method thereof, the device comprises a storage control module, a data storage and a Bluetooth communication module; the Bluetooth communication module is used for communication with other Bluetooth devices; and the storage control module is used for controlling data in the data storage. Storage operation; the data storage includes a raw data space for storing basic configuration information, a configurable data space for storing function configuration information, and a configurable data space having one or more at any time. There is only one set of configurable data space in effect, and the stored function configuration information is the current function configuration information of the device. The invention can realize the automatic configuration and setting of the remote control function in the process of pairing a remote control device with different models or even different types of devices, and can realize the control of the device after completion, the whole process is automatically completed without user intervention, greatly improving Increased user experience with ease of use.

An apparatus for the generation of exploitation data is disclosed. The apparatus comprises at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive a plurality of entity profiles from a plurality of entities, wherein each of the plurality of entity profiles comprises a plurality of operational data. The memory instructs the processor to identify demand data as a function of the plurality of entity profiles. The memory instructs the processor to generate exploitation data as a function of the operational data and the demand data. The memory instructs the processor to determine collaboration data as a function of the exploitation data. The memory instructs the processor to display the collaboration data using a display device.

The disclosed device provides idealized and reusable data source interfaces. The process of idealizing includes reengineering of an original data model using a surrogate key based model. The technique emphasizes readability and performance of the resulting operational data store. In, addition, the disclosed device provides a unique method for handling changes which allows for all types of changes to be automatically implemented in the operational data store by table conversion. Further the disclosed device provides inline materialization which supports a continuous data flow dependency chain. A continuous dependency chain is used to provide automated documentation as well as a dynamic paralleled transformation process.

An apparatus for the generation of exploitation data is disclosed. The apparatus comprises at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive a plurality of entity profiles from a plurality of entities, wherein each of the plurality of entity profiles comprises a plurality of operational data. The memory instructs the processor to identify demand data as a function of the plurality of entity profiles. The memory instructs the processor to generate exploitation data as a function of the operational data and the demand data. The memory instructs the processor to determine collaboration data as a function of the exploitation data. The memory instructs the processor to display the collaboration data using a display device.

A method of operating a communications network is disclosed. In order to manage a network, it is first necessary to establish the state the network is in. This is difficult in practice because the network operational data stored and transmitted in the network takes a myriad of forms owing to the variety of suppliers and types of network equipment. There is a need to distil that network operational data down to aggregate network operational data which can be taken to provide an indication of the state of the network which is of a manageable size, and to which network management apparatus can react by sending control commands to the network. The problem of generating aggregate network operational data is tackled by identifying the type of each attribute found in each network operational data item, and classifying the network operational data items in a manner which takes account of the identified types and thus provides network aggregate data which more accurately reflects the operational state of the network. This in turn leads to the network management apparatus controlling the network to operate in a more efficient manner than has hitherto been possible.

Systems and methods are provided for process design and analysis of processes leading to product or analytical information. A hypergraph data store is maintained and includes a version of each process. A version includes a hypergraph with nodes, stages of the process, and edges. A stage has parameterized resource inputs associated with stage input properties and input specification limits. A stage has resource outputs with output properties and output specification limits. Edges link the outputs of nodes to the inputs of other nodes. A run data store is maintained with a plurality of process runs, each run identifying a process version, a value of an input to a node in the corresponding hypergraph, an input property of the input, a resource output of the node, and a value of the resource output The obtained value of the output property. When a query identifies one or more inputs and / or outputs that exist in the operational data store, the one or more inputs and / or outputs are formatted for analysis.

The purpose for this device is to provide electrical power to an automotive electrical control system from a residential electrical service. The power from an auxiliary power supply will maintain the operational data stored within the memory of the automotive computer and data within other electronic devices. This is accomplished by maintaining an energized electrical system, which will prevent the normal discharge of the battery due to parasitic loads. This device has precise voltage regulation to maintain the proper voltage level of the electrical system with or without the normal storage battery being present, Parasitic loads are those loads that require electrical energy when the automobile engine is not running.

The present disclosure provides a data management method, apparatus, electronic device, and storage medium, which relate to the field of data processing, and particularly to fields such as big data and autonomous driving. The method includes: obtaining initial data from the Operational Data Store (ODS) based on data acquisition requirements; the initial data includes offline data and real-time data; based on the initial data, obtaining the first full amount of data corresponding to the first data scheduling level at the current moment in the Data Warehouse Detail (DWD), and the first incremental data corresponding to the second data scheduling level within the most recent N days before the current moment; the time span of the second data scheduling level is less than the time span of the first data scheduling level; according to the first full amount of data, the first incremental data, and a preset incremental generation rule, obtaining the first target full amount of data corresponding to the second data scheduling level within the most recent N days in the Data Warehouse Service (DWS); controlling the Application Data Store (ADS) to call and output the first target full amount of data from the Data Warehouse Service (DWS).