A method and apparatus enables partitioning of data to efficiently store and retrieve data relating to a database system (either a parallel or non-parallel database system). Such partitioning may be performed by receiving information associated with at least one characteristic of the data and performing an algorithm to divide the data into related data segments. The data segments may be stored in a distributive database system based on the characteristic associated with the data.

Method and apparatus for partitioning data for storage in a database

A system and method for ranking search results based on a series of attributes derived from the behavior of past searchers is disclosed. The attributes provide a measure of the relevancy between a search query and a URL, file, or other resource based on its relevancy to prior users. The system comprises (1) an attribute database including a plurality of prior search terms or phases; a first set of resources associated with each of the queries; and the attributes, i.e., metrics, characterizing the relevance of the first set of resources to the queries; and (2) a search processor adapted to identify a second set of resources determined to be relevant to a user query; rank each of the second set of resources based on the metrics associated with the query and resource; and provide the user with the search results ranked in accordance the metrics and displayed in a manner to increase the utility of the results for the user.

Search engine using user intent

Systems, methods, and devices for a cyberphysical (IoT) software application development platform based upon a model driven architecture and derivative IoT SaaS applications are disclosed herein. The system may include a time-series data component to receive time-series data from time-series data sources. The system may include a relational data component to receive relational data from relational data sources. The system may include a persistence component to store the time-series data in a key-value store and store the relational data in a relational database. The system may include a data services component to extract, transform, and load aggregate data into a multi-dimensional data store; implement a type layer over a plurality of data stores comprising the key-value store, the relational database, and the multi-dimensional data store. The data services component may include definitions for a plurality of types based on the plurality of data stores.

Systems, methods, and devices for an enterprise internet-of-things application development platform

A system and methodology for parallel query optimization using semantic-based partitioning is described. In one embodiment, for example, in a database system comprising a database storing data in database tables, a method is described for improving query performance by dynamically partitioning the data, the method comprises steps of: receiving a query requesting data from the database; generating a plurality of subplans for executing the query, each subplan including one or more operators for performing relational operations; adding operators for partitioning data and performing a given relational operation in parallel to at least some of the plurality of subplans; and building a plan for execution of the query based, at least in part, upon selecting subplans having favorable execution costs.

System and Methodology for Parallel Query Optimization Using Semantic-Based Partitioning

A information search and navigation system indexes, categorizes and condenses data from text or other documents. In various embodiments, the invention further can utilize user information goals, document or website types and multi-page link path options that together provide a fast, multi-page Web navigation system.

Method and apparatus for improved information representation

An improved system for database query processing by means of "query decomposition" intercepts database queries prior to processing by a database management system ("DBMS"). The system decomposes at least selected queries to generate multiple subqueries for application, in parallel, to the DBMS, in lieu of the intercepted query. Responses by the DBMS to the subqueries are assembled by the system to generate a final response. The system also provides improved methods and apparatus for storage and retrieval of records from a database utilizing the DBMS's cluster storage and index retrieval facilitates, in combination with a smaller-than-usual hash bucket size.

Apparatus and method for decomposing database queries for database management system including multiprocessor digital data processing system

A method for logical view visualization of user behavior in a networked computer environment that includes sites that a user may visit and wherein the sites comprise pages that the user may view and/or resources that the user may request includes the step of collecting raw data representing user behavior which can include requesting resources, viewing pages and visiting sites by the user. This raw data is then refined or pre-processed into page views and visit data and stored in a data mart. Pages are clustered into super pages, and page to super page mappings reflecting the relationship between pages and super pages are stored in the data mart. An automated clustering means is applied to the page view, visit and super page data in the data mart to discover clusters of visits to define super visits having visit behavior characteristics. The visit data stored in the data mart is then scored against the super visit clusters to classify visits into super visits according to visit behavior characteristics. A system is also provided.

System and method for logical view analysis and visualization of user behavior in a distributed computer network

An improved system for database query processing by means of “query decomposition” intercepts database queries prior to processing by a database management system (“DBMS”). The system decomposes at least selected queries to generate multiple subqueries for application, in parallel, to the DBMS, in lieu of the intercepted query. Responses by the DBMS to the subqueries are assembled by the system to generate a final response. The system also provides improved methods and apparatus for storage and retrieval of records from a database utilizing the DBMS's cluster storage and index retrieval facilitates, in combination with a smaller-than-usual hash bucket size.

Method and apparatus for database query decomposition

An improved system for database query processing by means of query decomposition intercepts database queries prior to processing by a database management system (DBMS) (Fig. 3A). The system decomposes at least selected queries to generate multiple subqueries for application, in parallel, to the DBMS, in lieu of the intercepted query. Responses by the DBMS to the subqueries are assembled (74B) by the system to generate a final response. The system also provides improved methods and apparatus for storage and retrieval of records from a database utilizing the DBMS's cluster storage and index retrieval facilitates, in combination with a smaller-than-usual hash bucket size (76B, 76C).

Improved method and apparatus for data access in multiprocessor digital data processing systems

A data set manager is configured to interact with data processing elements of an information processing system. The data set manager comprises a metadata capture module configured to access or otherwise obtain metadata characterizing data sets associated with the data processing elements, a reasoning module configured to perform one or more reasoning operations on the metadata, and an action recommendation module configured to identify one or more recommended actions for the data processing elements based at least in part on results of the reasoning operations. The metadata characterizes properties of the data sets and relationships among the data sets, and may be defined in accordance with at least one of a specified ontology and a specified class. The data set manager and associated data processing elements may be implemented, by way of example, in cloud infrastructure of a cloud service provider, or on another type of processing platform.

David Stephen Reiner

Papers

Apparatus and method for decomposing database queries for database management system including multiprocessor digital data processing system

System and method for logical view analysis and visualization of user behavior in a distributed computer network

Method and apparatus for database query decomposition

Improved method and apparatus for data access in multiprocessor digital data processing systems

Managing data sets by reasoning over captured metadata