476 results about "Data access layer" patented technology

A middle-tier Web server with a queryable cache that contains items from one or more data sources. Items are included in the cache on the basis of the probability of future hits on the items. When the data source determines that an item that has been included in the cache has changed, it sends an update message to the server, which updates the item if it is still included in the cache. In a preferred embodiment, the data source is a database system and triggers in the database system are used to generate update messages. In a preferred embodiment, the data access layer determines whether a data item required by an application program is in the cache. If it is, the data access layer obtains the item from the cache; otherwise, it obtains the item from the data source. The queryable cache includes a miss table that accelerates the determination of whether a data item is in the cache. The miss table is made up of miss table entries that relate the status of a data item to the query used to access the data item. There are three statuses: miss, indicating that the item is not in the cache, hit, indicating that it is, and unknown, indicating that it is not known whether the item is in the cache. When an item is referenced, the query used to access it is presented to the table. If the entry for the query has the status miss, the data access layer obtains the item from the data source instead of attempting to obtain it from the cache. If the entry has the status unknown, the data access layer attempts to obtain it from the cache and the miss table entry for the item is updated in accordance with the result. When a copy of an item is added to the cache, miss table entries with the status miss are set to indicate unknown.

A method and computer program product for building a multiple layer object-oriented software application with reusable components. The method includes the steps of creating business classes containing business logic for the software application; reading templates utilizing reusable components from a template solution file; and generating programming code for the software application based on the created business classes and selected template. The multiple layers include a data layer, a data access layer, a business logic layer and a user interface layer with executable logic for each layer placed into a corresponding assembly data structure. Security tokens are required to access the classes and methods in either the business logic assembly or data access assembly. A serializable data assembly includes container classes that are used to pass data between the business logic layer and data access layer when a dataset or data table is not appropriate. A code generator user interface enables an application developer to define a namespace, a deploy directory name, a database type, an application type, a target source code directory, and a plurality of class specifications and search criteria.

The invention provides a Hadoop-based commodity recommendation system comprising five layers: a data access layer, a data model layer, a recommendation algorithm layer, a recommendation engine layer, and a recommendation application layer. The insides of all layers employ modularization designs and all layers interact with each other based on interfaces, thereby realizing high cohesion and low coupling of the system architecture and high extensibility. The database of the system employs Hive; convenient on-line shopping functions like commodity browsing, purchasing payment, logistics allocation, after-sales service and the like can be provided for users. On the basis of the high-efficiency, reliable, and convenient-extension distributed system infrastructure, the system is suitable for large-scale data storage and computing processing; the system based on a novel design and a good design plan has the broad market promotion prospects.

Techniques are disclosed for enabling the migration of data with minimized impact on consumers of the data. A data migration agent updates pointers to active data locations and coordinates a migration from a first data resource to a second data resource so that seamless migration may be carried out. A data access layer of a distributed computing environment can take advantage of the pointers and metadata written by the data migration agent to serve requests to resources of the distributed computing environment so that read availability is available regardless of migration status.

A middle-tier Web server with a queryable cache that contains items from one or more data sources. Items are included in the cache on the basis of the probability of future hits on the items. When the data source determines that an item that has been included in the cache has changed, it sends an update message to the server, which updates the item if it is still included in the cache. As disclosed, the data source is a database system and triggers in the database system are used to generate update messages. The data access layer determines whether a data item required by an application program is in the cache. If it is, the data access layer obtains the data item from the cache; otherwise, it obtains it from the data source. The Web application programs use global data set identifiers to identify data sets, while the cached data sets are identified by local data set identifiers. The cache receives a query context of global data set identifiers, determines whether the data sets of the query context are cached, and if they are, provides the local data set identifiers for the query context to the access layer, which then uses the local data set identifiers to query the cache.

The embodiment of the invention discloses a method, a device and a system for data disaster tolerance. The method comprises: configuring disaster tolerance in a plurality of databases in a data accesscontrol layer, wherein the configuration comprises a main database one or more spare databases of the main database, objects to be copied in the main database and access operation types of the objects to be copied in main database and the spare databases, and the data access control layer is between a data access driving layer and an application system; accessing the main database according to the disaster tolerance configuration; and when the access to the main database fails, switching to one of the spare database of the main database. The method, the device and the system can quickly switch to a spare database to continue accessing the database.

The invention relates to the field of development of computer application software, in particular to an integrated high-performance application software architecture and a construction method thereof. The integrated high-performance application software architecture comprises a WEB layer cluster, a backend application cluster, a database cluster and a message-oriented middleware cluster, wherein the WEB layer cluster supports a J2EE cluster technology and is used for providing the capacity of a business presentation layer of a J2EE frame; the backend application cluster supports the J2EE cluster technology and is used for providing the processing capacity of a business logic layer of the J2EE frame; the database cluster supports the J2EE cluster technology and is used for providing the capacity of a data access layer of the J2EE frame; and the message-oriented middleware cluster supports the J2EE cluster technology and is used for providing the message communication capacity between distributed J2EE components. Based on the integrated high-performance application software architecture and the construction method thereof, a software architect and a developer can determine a software scheme and a deployment scheme within short time and provides high-performance application service; and a J2EE application system designed according to the software architecture can meet the requirements on high availability, extensibility and fault tolerance.

The invention provides an access trend prediction based time series database cache management method. The method comprises: on the basis of providing a data access cache by a conventional database, establishing a time series database dual-cache mechanism; and in addition to a conventional cache, adding a prediction data cache for predicting pre-loading of access data to load the access data into a memory before data access so as to increase the query speed. The method is used for effectively managing the time series database data cache to improve the efficiency of data cache hitting and system data query. A system analyzes recent access data and predicts a data access trend, and the prediction data is loaded to increase the data access speed. The method is suitable for time series database data cache management and is used for improving the efficiency of time series database data query.

An embodiment of the invention allows a software developer or administrator to use their knowledge and/or development of a particular application, to optimize the performance of data access and updates to the database. In order to do this, an embodiment of the invention makes use of the developers knowledge of particular transaction and transaction operations that can be performed in a commutative manner. The overall effect is to perform the operations in a parallel fashion so that one operation does not block or restrict the processing of a second operation. The result is an increase in database access or performance, without any resulting decrease in database reliability.

The invention provides a marketing analysis data market system. The marketing analysis data market system comprises a data access layer, a data extraction module, a data conversion module, a data cleaning module, a log and alarm sending module and a data downloading module, a data packet of the data access layer contains office data, external data and service data, and models of the system includes a data logic model and a data physics module. Firstly, necessity in designing the marketing data market is analyzed and ETL data processing including noise data processing, data uniformity and data quality and the like is analyzed by discussing a data integration method, and various data sources can be reorganized and processed by a data transition tool. In addition, the physics model in the data market is realized according to the physic list structure of the logic model. Finally, application prospect of the data market in the marketing analysis is expected.

A method and system is provided to process data transactions in a data store including a plurality of databases. The system may comprise a computer interface module to receive a data transaction request from at least one requesting computer and a data store interface module to interface the system to the plurality of databases. The system also includes a data access layer defining an abstraction layer to identify at least one database of the plurality of databases. The data transaction request may be an object orientated request and the plurality of databases may be horizontally distributed wherein the data access layer defines an object orientated abstraction layer between the computer interface module and the plurality of databases. In one embodiment a data dependent routing module is provided that generates a query to a database that is identified based on content of the data in the data transaction request.

A method, apparatus, and computer program product in a data processing system for avoiding excessive database round trips. A list of a database object fields affected by queries is compiled by analyzing instructions in a database query language. A list of database object fields affected by queries is also compiled by analyzing database object relationships. Using the combined list of affected database object fields, when a find operation is invoked, a determination is made as to whether the affected database object fields have been modified. Next, if the affected database object fields have been modified, database updates are generated for the affected database objects containing the affected database object fields. After that, the database updates are executed after all affected database object fields have been processed. Finally, the queries are submitted.

The invention provides a hadoop-based k-means clustering analysis system and method of a network security log. The hadoop-based k-means clustering analysis system comprises a log data acquisition subsystem, a log data mixing mechanism storage management subsystem and a log data analysis subsystem. The method includes the steps that in a data storage layer, a mixing storage mechanism with Hadoop cooperating with a traditional data warehouse is adopted to store log data, a Hive operation interface is provided in a data access layer, the data storage layer and a computing layer receive instructions from a Hive engine, and efficient query analysis on the data is achieved by being matched with MapReduce through HDFS; when mining analysis is conducted on log data, MapReduce is adopted to conduct clustering mining analysis on the network security log through a k-means algorithm; the framework with the Hadoop cooperating with the traditional data warehouse is adopted, the detects of the traditional data warehouse on the aspects of mass data processing, storage and the like, and meanwhile an original traditional data warehouse is fully used; clustering analysis is conducted through the MapReduce-based k-means algorithm, and safety grade evaluation and early warning can be conducted on log data timely.

The invention relates to a big data technology, and aims to provide a credit risk control system and method based on a federation mode. The system comprises a heterogeneous data access layer used foraccessing and converting data, a data preprocessing layer used for preprocessing original data, and a sample alignment layer used for keeping training samples of different data providers aligned, anda federated learning layer used for training a local model by utilizing the participant local data and forming a global model after gradient aggregation. The invention provides a unified data access format, data preprocessing and a risk prediction model based on federated learning, and solves the challenge problem brought by data heterogeneity and privacy leakage to risk control. A central serverdoes not need to participate in the model training and learning process, and it can be guaranteed that user privacy is not eavesdropped. Risk control modeling can be carried out by combining a plurality of different participants, the modeling process is standardized, the risk control capability is finally improved, and the cost is reduced for enterprises.

The invention discloses a configurable method for automatically generating a database and accessing data. The configurable method includes converting a UML (unified modeling language) class image designed in a business requirement analysis stage into an XML (extensible markup language) file; generating metadata information by means of analyzing and reading the XML file; selecting a used database and used business processing language by means of selecting a configuration file by a user; generating a database template, an entity class template and a data access class template; and generating a database, an entity class and a data access class of a system by the aid of a generator of the system according to the metadata information and the generated templates. The metadata information includes basic attributes including the accessibility, the name and the type of an object. By the aid of the configurable method, the UML class image is converted to the database, the entity class, the data access class and the like, accordingly, the database and a data access layer can adapt to change of the object and change of the attributes of the object, when the type of the database and the business processing language are changed, only the design of the UML class image needs to be modified to regenerate a database and a data access layer, and extensibility and maintainability of the system are improved.

A digital dictation workflow system and method employing a plurality of client devices and at least one server. Certain client devices are operable to record audio information dictated by a user for storing as a digital audio file in a file store, and others are operable to receive and reproduce the stored digital audio file as audio. The server is connected to the client devices via a network, and manages storage and retrieval of the digital audio file to and from the file store and the client devices. The system and method further employ at least one database for storing dictation data pertaining to the digital audio file stored in the file store, and can be configured in a three-tier arrangement with the client devices being present in a presentation layer, the server present in a business logic layer, and the file store and database present in a data access layer.

The invention relates to a table-by-table and page-by-page query method and system for a database. An application layer can send a query request to a data access layer, the data access layer can calculate out N tables meeting the query conditions and respectively query the record numbers, meeting the conditions, of the tables, then the position of the table where a request page is arranged and the positions of records in the table can be located according to the request page and the record number of the request page, the database can be queried to obtain corresponding records according to the position of the table and the positions of the records in the table, and finally results are returned to the application layer. Before accessing the database and processing the results, the data access layer can access a cache area to read or store corresponding data. By means of layer-by-layer and page-by-page query, the effective utilization of resources in the database is improved, and the burden of a database system is relieved.

The system of the present invention facilitates the collection, processing, optimization and communication of data. Project data is accessed through an architecture, comprising an access layer, with programs for retrieving, processing and communicating data from a database, and a Customer User Interface (CUI) presentation layer. The CUI provides individual users with interaction throughout the project life-cycle, for example, for recording and processing information, completing project tasks, producing and managing documents, managing changes, issues and risks and producing reports and business intelligence, including individual project and projects portfolio status indicators.

The invention discloses an Internet of things heterogeneous data storage method and a storage system. The internet of things heterogeneous data storage method comprises the steps that various types of data are stored in a column-based mode through an HBase distributed storage system, an MySQL metadatabase carries out registration management on the stored data, and finally the data access layer is configured in a centralized manner, so that applications based on the database can use the unified data interface. According to the Internet of things heterogeneous data storage method and the storage system, the unified storage mode is adopted through the unified data interface, the storage of different types of data and data from different sources is effectively supported; the column-oriented storage mechanism is extended by utilizing the HBase technology, so that the storage volume can be extended horizontally; the memory mapping file mechanism is adopted to effectively improve the storage and management efficiency of large files; and the data redundancy storage technology is adopted to greatly improve the system reliability and the accessibility. The Internet of things heterogeneous data storage method and the storage system can well solve the storage problem of various types of data, has efficient storage and utilization capability on large files, and is also low in cost and high in robustness.

A system architecture for providing remote access to insurance applications from a remote location is provided, including: a presentation layer located at the remote location that provides tools for navigating within one of the insurance applications and executing business transactions, wherein the presentation layer is based on web browser technology; an application layer that enforces predetermined rules of business on commands and transactions input from the remote location; a data access layer that manages physical storage of data relating to the insurance applications in databases and provides the application layer with access to application data; and a distributed technical layer separating a presentation logic of the presentation layer from an application logic of the application layer, wherein the distributed technical layer is configured to coordinate an execution of the insurance applications on one or more different platforms.