47 results about "Data harmonization" patented technology

A data warehouse system comprising a warehouse database and a data warehouse manager communicatively coupled to the database. The warehouse manager is to store data to and retrieve data from the warehouse database and perform metadata reconciliation to update metadata of objects in the data warehouse to reflect a change in metadata of a first object in the warehouse by identifying a first set of objects impacted by the change to the metadata of the first object, identifying a second set of objects on which the first object depends, identifying at least one task that has to be completed to propagate the impact of the change in the metadata of the first object to objects in the first and second sets of objects, performing the task, and dynamically computing additional tasks based on whether or not definitions of objects in the first or second sets of objects changes based upon completion of the at least one task.

Embodiments of the present invention address deficiencies of the art in respect to trusted platform module (TPM) unification in a trusted computing environment and provide a novel and non-obvious method, system and computer program product for trusted platform module data harmonization. In one embodiment of the invention, a TPM log harmonization method can include designating both a single master TPM for a master node among multiple nodes, and also a multiplicity of subsidiary TPMs for remaining ones of the nodes. The method further can include extending the single master TPM with a measurement representing a rendezvous operation for the nodes.

The invention relates to a data processing method and a data processing device. The data processing method comprises the following steps: creating a shared memory ring, wherein the shared memory ring is a ring-shaped structural space for storing data to be operated; before operating a next operation destination unit in the shared memory ring, setting an operation zone bit of the next operation destination unit into an operation type corresponding to a next operation; judging whether the next operation destination unit can carry out the next operation; and according to a judgment result, processing the data in the next operation destination unit. According to the data processing method and the data processing device, which are disclosed by the invention, a ring-shaped data structure in a shared memory is designed, a data coordinating rule of producers and consumers and a shared memory ring overwriting mechanism are combined, a control identifier bit of the ring is updated on the basis of the atomic bit operation, data read-write efficiency of shared resources in the data parallel processing scene is improved, and the cost of data synchronism is reduced, so that the problems of low read-write efficiency of the shared resources and high synchronism cost are solved.

In one embodiment, a data reconciliation engine works with data store nodes included in a distributed data store system to ensure consistency between the data store nodes. In operation, the data reconciliation receives a different data snapshot from each of the data store nodes. In response, the data reconciliation engine generates one or more recommendations designed to resolve inconsistencies between the data snapshots. The data reconciliation engine then transmits each recommendation to a different data store node. Because the data reconciliation engine performs many of the resource-intensive operations included in the data reconciliation process, the resources of the data store nodes may focus primarily on processing client requests instead of performing data reconciliation operations. Consequently, unlike conventional data store node based reconciliation applications, the data reconciliation engine may process large volumes of data without unacceptably increasing the time required for the distributed data store system to respond to client requests.

The invention relates to a method for transmitting data records (D1...n) between a central communication device (Z) and any number of terminals (X1...n). At least one data co-ordination device (E) ensuring the data transmission between the central communication device (Z) and the terminals (X1...n) is provided, said data co-ordination device receiving or forwarding data records (D1...n) transmitted over the first data transmission section (A) between the data co-ordination device (E) and the terminals (X1...n), and a second data transmission section (B) between the data co-ordination device (E) and the central communication device (Z), the first data transmission section (A) being part of a low-voltage network (PLC). According to the invention, priority steps (P1...n) are defined for the data records (D1...n) to be transmitted over the first data transmission section (A). A reference time span (T) is defined for the transmission of the data records (D1...n), and a determinable part (T1...n) of the reference time span (T), in which the first data transmission section (A) is provided for the transmission of data records (D1...n) corresponding to each priority step (P1...n), is associated with the respective priority step (P1...n).

A technique is provided for data coordination across a multiplicity of phases. A data receiver receives an interface dataset from the (i−1)th upstream phase. With reference to relevant representative datasets in the interface dataset, a phase-specific service manager performs its assigned services to produce a phase dataset. By consulting a schema corresponding to the ith phase, a representative dataset extractor searches the phase dataset to extract a representative dataset which is minimum but sufficient for use in the subsequent phases. A relationship descriptor generator produces relationship descriptors indicating usage relationships between this new representative dataset and the representative datasets including in the interface dataset that the data receiver has received. A data combiner appends the representative dataset and relationship descriptors to the interface dataset, thus producing a modified interface dataset.

In an example embodiment, a demand signal management system is configured to coordinate data harmonization among a plurality of entities. The demand signal management system may obtain unharmonized data through third party entities. Global records based on internal master records and taxonomy information may be distributed to the entities. In some embodiments certain entities may have authority to create new global records. In other embodiments, some entities may have authority to approve proposed new global records. In still other embodiments, some entities may not have authority to create new global records. Unharmonzied data sent to the entities for harmonization in accordance with the global records. The entities may accept or reject the harmonization request. If accepted, the entity may return an updated global record, a proposed new global record, and/or a new global record depending on the unharmonized data, the global records and the entities' authority.

Continued and precise operation of an agricultural implement exists even where a subsystem, such as a GPS receiver, wireless communicator, a sensor, or the like, fails, falters, or is otherwise unusable. Data is continually tracked to the extent possible during failure or faltering and is temporarily stored. The temporary data is later stitched or otherwise harmonized with historical data once the failing system is repaired or otherwise once again available. During failure or faltering, views, and even mapped views, of historical and real-time data are displayed. Predicted or anticipated data can be included within these views or can even be used when stitching.

The invention provides a QKD post-processing system and method based on a CRC-SCL decoding algorithm, the system comprises a sender and a receiver, the sender comprises an information interaction unit, a parameter estimation unit, an error correction unit and a confidential amplification unit; the receiver comprises an information interaction unit, a parameter estimation unit, an error correction unit and an amplification unit. According to the continuous variable quantum key distribution characteristic, performance characteristics of error correction codes with different code lengths are combined, on the basis of classical multilateral LDPC code multidimensional negotiation, the polarization codes are introduced for cascade decoding, the excellent error correction performance of the polarization codes based on the CRC-SCL decoding algorithm in medium and short code lengths is fully utilized, and finally decoding is completed. According to the method, the data coordination efficiency is improved, the error correction efficiency is guaranteed, the quantum key generation rate of the QKD system is further improved, and the overall performance of the system is guaranteed.

Methods and systems are presented for providing data consistency in a distributed data storage system using an eventual consistency model. The distributed data storage system may store data across multiple data servers. To process a request for writing a first data value for a data field, a first data server may generate, for the first data value, a first causality chain representing a data replacement history for the data field leading to the first data value. The first data server may insert the first data value without deleting pre-existing data values from the data field. To process a data read request, multiple data values corresponding to the data field may be retrieved. The first data server may then select one data value based on the causality chains associated with the multiple data values for responding to the data read request.

The invention discloses a data monitoring and analyzing system of a company image improving system. The system comprises a user data service and fusion system module, a social media propagation optimization module, a multi-source massive social media data real-time acquisition module, a heterogeneous social media key information extraction module and a stream computing technology module for supporting massive social media data monitoring, processing and analysis, wherein the multi-source massive social media data real-time acquisition module comprises a micro-service global distributed data coordination module, a data acquisition and capture service module, a data acquisition and processing service module and a data persistence service module, and the micro-service global distributed datacoordination module is provided. The data monitoring and analyzing system of the company image improving system can fuse company customer service data and complex social network data and construct a data fusion system architecture, and has the advantages of being more efficient and reliable in data analysis and processing, wide in application field, high in practical value and low in expert cost.

The invention discloses an intelligent layering method and system based on distributed file storage, the system comprises a hot data layer and a cold data layer, the hot data layer comprises a metadata module, a data storage module, a coordinator and an agent module; the metadata module is used for describing system data of features of a file and comprises metadata information of the file; the data storage module comprises file data actually stored in the file system; the coordinator manages a timed scanning task and a cold and hot data definition strategy; the agent module stores a record of the to-be-migrated file conforming to the strategy; the cold data layer comprises an object barrel module, and an object barrel is used for storing cold data; a copying tool module is arranged between the hot data layer and the cold data layer, and the copying tool module executes copying between the cold data and the hot data. Data scanning is carried out according to time and a cold and hot data strategy, and cold data is migrated to an object which is relatively low in price and low in performance to be stored. Cold data is efficiently saved in low-cost object storage.