9290results about "Database design/maintainance" patented technology

The present invention provides a method for generating a point-in-time restoration of database files and associated log files by utilizing a snapshot feature of the file system storing the files. At regular intervals, snapshots, which produce read-only copies of the files, are taken along with backups of the associated log files. To restore to a given point-in-time, the snapshot and stored log files are transferred to the active file system. In a second embodiment, all log files associated with snapshots taken after the selected snapshot are also restored.

An archive cluster application runs in a distributed manner across a redundant array of independent nodes. Each node preferably runs a complete archive cluster application instance. A given nodes provides a data repository, which stores up to a large amount (e.g., a terabyte) of data, while also acting as a portal that enables access to archive files. Each symmetric node has a set of software processes, e.g., a request manager, a storage manager, a metadata manager, and a policy manager. The request manager manages requests to the node for data (i.e., file data), the storage manager manages data read / write functions from a disk associated with the node, and the metadata manager facilitates metadata transactions and recovery across the distributed database. The policy manager implements one or more policies, which are operations that determine the behavior of an “archive object” within the cluster. The archive cluster application provides object-based storage. Preferably, the application permanently associates metadata and policies with the raw archived data, which together comprise an archive object. Object policies govern the object's behavior in the archive. As a result, the archive manages itself independently of client applications, acting automatically to ensure that all object policies are valid.

A method of associating a content object with metadata uses a combination of a content identifier and a bounding identifier to enable handling of disparate sets of content identifiers for content objects with potentially conflicting content identifiers. The method receives a content identifier for a content object from among a set of content identifiers. It provides a unique bounding identifier for the set of content identifiers. This unique bounding identifier is used in combination with the content identifier to form a globally unique identifier for the content object. This globally unique identifier is associated with a metadata source, which enables routing of a user to the metadata source. Another novel method addresses content objects with two or more content identifiers, potentially referencing different metadata sources. This method registers different globally unique identifiers for a content object. These globally unique identifiers each comprise a content identifier provided with the content object and a bounding identifier identifying a set of content identifiers of which the content identifier is a member. For each of the globally unique identifiers, information is maintained about a metadata source. The method receives a first content identifier for the content object, and uses a bounding identifier associated with the set of the first content identifier to determine the globally unique identifier for the first content identifier. The user is routed to the metadata source associated with globally unique identifier. This document describes a novel system that enables multiple identity providers (ID Providers) to register and use the system. The ID Provider registers with a metadata directory system, receives a unique bounding identifier, and uses this bounding ID (e.g., an ID provider ID) with subsequent interactions with the metadata directory system. Separately, metadata source providers register metadata sources with the metadata directory system. This enables many different participants to associate content objects with metadata sources using one or more identify providers. Examples of metadata source providers include content providers, like content owners or retailers that have the flexibility of working with different ID providers to associate content objects with metadata. Both content providers and ID providers can register and use the system. The metadata source is the system or device that provides the metadata, like a web site. The directory system uses an identifier for the metadata source, which enables it to maintain an association between a content object and its corresponding metadata source. For example, in some embodiments, a URL serves to identify the location of the source. The Content Metadata Directory Services (CMDS) is a global trusted directory service that connects consumers of identified content to content-provider authorized and managed metadata databases and other digital resources. It includes mostly links to metadata, forms globally unique IDs based upon overlapping content identifiers and unique bounding identifiers, enables multiple content identifiers within a content object, and enables multiple content identity technology providers, even when they are using different technology.

A method of creating a database and of providing results from a database, for use by a municipality, and operating a community database, comprises the steps of: providing first and second source databases addressable under first and second data protocols respectively, which protocols are incompatible one with the other; transforming, comparing and reconciling the data in the first and second source databases in order to optimize each field of data in each record; and storing the optimized data for each record as a record in a resulting master database. Records from searches are presented in order of recency. The present invention also provides a method of generating revenue from activities associated with a community.

Smart containers are disclosed. A definition is received of a logical structure configured to manage associated content. A policy or operation specified by the definition is applied to an item of content associated with an instance of the logical structure.

A wind farm supervision monitoring system includes: a data collection unit configured to collect data about a status monitoring of each wind turbine from at least one site server; an abnormality status detection unit configured to detect an abnormality status of each wind turbine based on the collected data about the status monitoring and issue an alarm; a wind data management unit configured to early detect a fault of each wind turbine and or monitor performance of each wind turbine based on the data about the status monitoring or the data about the abnormality status; and a supervision unit configured to manage a turbine operation status and operation and maintenance of each wind turbine and provide information for establishing an operation and maintenance plan for the detected abnormality status of the wind turbine.

A mobile multimedia content aggregation and dissemination platform is provided that aims to automate the creation, collection, correlation, aggregation, and dissemination of RSS, ATOM or other syndicated-style data formats along with non-syndicated content for blogs and for searching by interested parties. Then non-syndicated content may be substantially any type of multimedia content that has not yet been edited or that has been edited. The system and method may receive data content that originated from a syndicated information source along with other data content that originated from a non-syndicated information source. The system and method convert both types of content into, at least, blog information and blog data. The blog information comprising, information that points to a storage location of the blog data. The exemplary method further enables a user to search the blog data regardless of whether the blog data originated from a syndicated data source or non-syndicated data source.

An identification method and process for objects from digitally captured images thereof that uses data characteristics to identify an object from a plurality of objects in a database. The data is broken down into parameters such as a Shape Comparison, Grayscale Comparison, Wavelet Comparison, and Color Cube Comparison with object data in one or more databases to identify the actual object of a digital image.

A software system automatically and dynamically generates a fully functional user interface (UI) based upon, and connected directly to, an underlying data model (as instantiated within a relational database management system (RDBMS)). The UI derives from an automated interrogation of the RDBMS, and comprises all mode displays (e.g., browse, search, edit, add) for all tables, and a full complement of mechanisms—integrated directly into the mode displays—for representing, navigating, and managing relationships across tables, regardless of the complexity of the underlying RDBMS schema. It utilizes a hierarchical “context stack” for suspending the working state of a particular table while “drilling down” to work with related-table information and return relevant changes to the base table. The embodiment further provides methods to enhance and extend the internal representation of table structures, constraints, relationships, and—special requirements (“business rules”) for improved revelation of the schema structure through external interrogation.

An enhanced metadata structure and associated process is provided which captures and stores metadata gathered about the source and usage of a media asset or file. The source and usage metadata is integrated, such as by encoding within the enhanced media file, as the media asset is transferred and used. The integrated metadata accumulates, as a trail of source information and usage information in the enhanced media asset, and can be extracted upon arrival at a target computer system.

A method and system for the integration of disparate data stored within an Information Technology infrastructure of a company is provided. The system and method enables holistic, real time control of data discovery, retrieval and analysis. The system combines data mining, retrieval and analytics at the source of the data, thereby solving traditional problems with disparate and distributed data, systems, business processes and analytics across an organization. The system enables a user to configure and target data, then apply rules, workflows and analytics from one central source. This process is accomplished by distributing functions in the form of software pneurons against the existing infrastructure for maximum processing while preserving a robust and extendable suite of definitions. The system uses the existing application, network and hardware assets and enables connection to the native data, maps only the data fields that need to be mapped to carry out the desired analysis, runs the analysis and then returns the data to a central location to be assembled, analyzed, organized and / or reported.