57 results about "Information warehouse" patented technology

Prioritized queues of advertising and content data are generated by a queue builder and sent to an on-line queue manager. A computer mediated communications network provides content and subscriber data to the queue builder and receives content segment play lists from the on-line queue manager. An exposure accounting module calculates and stores information about the number of exposures of targeted material received by subscribers and generates billing information. An information warehouse manager is employed to receive data from advertisers' data bases and third party sources as well as from the computer mediated communications network.

A method of data loading for large information warehouses includes performing checkpointing concurrently with data loading into an information warehouse, the checkpointing ensuring consistency among multiple tables; and recovering from a failure in the data loading using the checkpointing. A method is also disclosed for performing versioning concurrently with data loading into an information warehouse. The versioning method enables processing undo and redo operations of the data loading between a later version and a previous version. Data load failure recovery is performed without starting a data load from the beginning but rather from a latest checkpoint for data loading at an information warehouse level using a checkpoint process characterized by a state transition diagram having a multiplicity of states; and tracking state transitions among the states using a system state table.

A process that arranges information warehoused at individual accounting and tax preparation firms at a central location for the purpose of marketing information. Data contained at these firms have qualitative and quantitative characteristics that are different from data archived at the Internal Revenue Service or other tax authorities. This fact makes the data valuable as data in two ways. First the data can be exchanged to provide new revenue streams. Secondly, these data, if grouped into data warehouses of other firms, has value as pure data, not just customer lists. These data may be sold or rented creating additional revenue streams for their originators. The purchasers of this bulk data are interested in using this data in the field of data mining. Data mining is a technique of analyzing vast amounts of information to uncover relationships to predict events and has wide application in many areas of the economy.

The invention provides an information warehouse federation in a subscription / release system and a data synchronization method. The information warehouse federation comprises a plurality of information warehouses identical in structure and equal in level. Each information warehouse comprises a data storage module, a synchronous processing module and a public service module. Other information warehouses in the federation can be notified of data in one information warehouse needing to be updated in a message-based manner by means of collaboration among the modules; the other information warehouses correspondingly update after receiving the updating message and return processed results to a message transmission source; and the message transmission source updates the self data after receiving feedback messages. The information warehouse federation and the data synchronization method have the advantages that the data synchronization method which is effective, rapid and easy to implement is provided for synchronization of real-time data among the information warehouses in the subscription / release system low in data size and updating frequency, robustness, stability and fault tolerance of the system are improved, and consistency of the data among the information warehouses forming the federation in the subscription / release system is guaranteed.

A method for use with an information (or data) warehouse comprises managing the information warehouse with instructions in a declarative language. The instructions specify information warehouse-level tasks to be done without specifying certain details of how the tasks are to be implemented, for example, using databases and text indexers. The details are hidden from the user and include, for example, in an information warehouse having a FACT table that joins two or more dimension tables, details of database level operations when structured data are being handled, including database command line utilities, database drivers, and structured query language (SQL) statements; and details of text-indexing engines when unstructured data are being handled. The information warehouse is managed in a dynamic way in which different tasks—such as data loading tasks and information warehouse construction tasks—may be interleaved (i.e., there is no particular order in which the different tasks must be completed).

The invention provides a digital twin smart cloud scheduling method meeting personalized customization production, and relates to the technical field of personalized customization production workshopsmart scheduling. According to the invention, cloud pre-scheduling production planning is carried out on personalized orders of users according to three index weights of user levels, order delivery date priorities and development difficulties, and product performance is predicted and analyzed based on digital twinning body modeling and joint simulation of a single system or multiple system software, and full-digital decision scheduling control with control scheduling algorithm information is performed. Equipment information, material carrying information and warehouse information of the physical workshop can be transmitted to the twin workshop, the reliability and usability of products can be effectively improved through bidirectional information interaction between the twin workshop and the physical workshop entity, the requirement for small-batch personalized production is met, and meanwhile the product research, development and manufacturing risks are reduced.

The embodiment of the invention discloses a big data stream processing method and device based on a cloud native architecture, electronic equipment and a storage medium, relates to the technical fieldof big data stream processing, and is used for avoiding resource occupation and plug-in conflict of big data stream processing task execution and improving platform operation safety and stability. The method comprises the following steps: receiving a big data stream processing task sent by a server, wherein the task comprises required plug-in mirror image information, Git warehouse address information and input and output information; informing the Docker Engine to pull and run the corresponding plug-in mirror image from the mirror image warehouse, so as to enable the plug-in to start to run;enabling the plug-in to access a Git warehouse after running to obtain task context data; enabling the plug-in to acquire data from the data source and perform data processing, and record a task processing result and log information into a Git warehouse and update task context data after processing is completed; and informing the server that the task is executed completely, informing the Docker Engine to destroy the running plug-in instance, and releasing occupied resources.

Information warehouse table data is updated through a full outer join between warehouse tables and source tables in response to a single query language command statement of a relational database computer language. The single command statement comprises table mapping instructions for updating the warehouse tables that define matching conditions, delete instructions, archive instructions, and update instructions. The full outer join inserts rows in the warehouse tables for source table data rows that do not have corresponding matching rows in the warehouse table. Data rows in the warehouse tables without corresponding matching source table rows are deleted if a value of a parameter in the warehouse table system is set to delete; updated if the parameter is update; and updated with archive values and a new table row inserted with existing values if the parameter is archive.

The embodiment of the invention provides a material carrying method and a material carrying device, which relate to the technical field of warehouse storage. The method comprises the steps: a warehouse-out request is received, wherein the warehouse-out request comprises first name information and first quantity information of to-be-taken materials; a warehouse-out task is generated according to the first name information of the to-be-taken material, the record information of the warehouse and the attribute information of the warehouse, wherein the attribute information comprises material placement position information of each region block, the region blocks are divided by the warehouse according to a preset rule, the region blocks do not interfere with each other in material carrying, andthe warehouse-out task comprises warehouse-out point position information corresponding to the first quantity information; and the warehouse-out task is sent to a carrying trolley, so that the carrying trolley carries out warehouse-out on the to-be-taken materials corresponding to the first quantity information according to the warehouse-out task. According to the material carrying method and thematerial carrying device, the problem that delivery is blocked due to mutual influence of materials can be solved.

A method for use with an information (or data) warehouse comprises managing the information warehouse with instructions in a declarative language. The instructions specify information warehouse-level tasks to be done without specifying certain details of how the tasks are to be implemented, for example, using databases and text indexers. The details are hidden from the user and include, for example, in an information warehouse having a FACT table that joins two or more dimension tables, details of database level operations when structured data are being handled, including database command line utilities, database drivers, and structured query language (SQL) statements; and details of text-indexing engines when unstructured data are being handled. The information warehouse is managed in a dynamic way in which different tasks—such as data loading tasks and information warehouse construction tasks—may be interleaved (i.e., there is no particular order in which the different tasks must be completed).

A method for use with an information (or data) warehouse comprises managing the information warehouse with instructions in a declarative language. The instructions specify information warehouse-level tasks to be done without specifying certain details of how the tasks are to be implemented, for example, using databases and text indexers. The details are hidden from the user and include, for example, in an information warehouse having a FACT table that joins two or more dimension tables, details of database level operations when structured data are being handled, including database command line utilities, database drivers, and structured query language (SQL) statements; and details of text-indexing engines when unstructured data are being handled. The information warehouse is managed in a dynamic way in which different tasks—such as data loading tasks and information warehouse construction tasks—may be interleaved (i.e., there is no particular order in which the different tasks must be completed).

The invention relates to a method and a system for accelerating a DNS analysis software log record. The method comprises the steps of collecting the log information of a Query message and generating abinary log information flow; storing the binary log information into a log information warehouse, then taking out the binary log information flow from the log information warehouse, and outputting the information flow to a log file or conveying the information flow to a UNIX DOMAIN SOCKET; analyzing the log file and outputting the visual log information, or receiving the binary log information flow in the UNIX DOMAIN SOCKET and outputting the visual log information. According to the method, DNS analysis software record logs can be isolated from the DNS analysis process under the condition that DNS software analysis codes are not modified at all. Therefore, the analysis performance of the DNS analysis software can be improved under the condition that the high-performance output log file ofthe DNS analysis software is ensured.

Information warehouse table data is updated through a full outer join between warehouse tables and source tables in response to a single query language command statement of a relational database computer language. The single command statement comprises table mapping instructions for updating the warehouse tables that define matching conditions, delete instructions, archive instructions, and update instructions. The full outer join inserts rows in the warehouse tables for source table data rows that do not have corresponding matching rows in the warehouse table. Data rows in the warehouse tables without corresponding matching source table rows are deleted if a value of a parameter in the warehouse table system is set to delete; updated if the parameter is update; and updated with archive values and a new table row inserted with existing values if the parameter is archive.

A method of data loading for large information warehouses includes performing checkpointing concurrently with data loading into an information warehouse, the checkpointing ensuring consistency among multiple tables; and recovering from a failure in the data loading using the checkpointing. A method is also disclosed for performing versioning concurrently with data loading into an information warehouse. The versioning method enables processing undo and redo operations of the data loading between a later version and a previous version. Data load failure recovery is performed without starting a data load from the beginning but rather from a latest checkpoint for data loading at an information warehouse level using a checkpoint process characterized by a state transition diagram having a multiplicity of states; and tracking state transitions among the states using a system state table.

The invention discloses an order delivery method and device, and relates to the field of intelligent logistics. A specific embodiment of the method comprises the steps that a user order is received, article information in the order and a warehouse set corresponding to the order are determined, and each warehouse in the warehouse set stores at least one article in the order; according to the article information in the order, the priority of each warehouse in the warehouse set and the order warehouse-out configuration information, an order warehouse-out strategy is executed to determine warehouse-out warehouse information corresponding to the order, and the order warehouse-out strategy is composed of a plurality of sub-strategies with different priorities; and sending the ex-warehouse information for the ex-warehouse warehouse to carry out ex-warehouse operation on the order. According to the implementation mode, through the order delivery strategy composed of the plurality of sub-strategies with different priorities, the order delivery requirements in different scenes can be met, the order delivery failure probability is reduced, the logistics distribution efficiency and timeliness are improved, and the distribution cost is reduced.

The invention provides an intelligent distribution scheduling system, and the system comprises a carrier management module which is used for managing carrier information; the warehouse management module is used for managing warehouse information; the strategy construction module is used for establishing a distribution strategy from the first position of each warehouse to each network point of each carrier and distribution parameter information corresponding to the distribution strategy; the order management module is used for acquiring and managing orders; and the distribution strategy adaptation module is used for adapting a distribution strategy to the order based on the order information of the order, the distribution parameter information of the distribution strategy and a preset adaptation principle. According to the intelligent distribution scheduling system, the distribution scheduling of orders is realized, so that the order distribution requirements of merchants are met.