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1155 results about "Base Number" patented technology

A positive integer (sometimes called the radix or scale) that establishes the counting numbers and place values in a number system.

Indexed file system and a method and a mechanism for accessing data records from such a system

A computer filing system includes a data access and allocation mechanism including a directory and a plurality of indexed data files or hash tables. The directory is preferably a radix tree including directory entries which contain pointers to respective ones of the hash tables. Using a plurality of hash tables avoids the whole database ever having to be re-hashed all at once. If a hash table exceeds a preset maximum size as data is added, it is replaced by two hash tables and the directory is updated to include two separate directory entries each containing a pointer to one of the new hash tables. The directory is locally extensible such that new levels are added to the directory only where necessary to distinguish between the hash tables. Local extensibility prevents unnecessary expansion of the size of the directory while also allowing the size of the hash tables to be controlled. This allows optimisation of the data access mechanism such that an optimal combination of directory-look-up and hashing processes is used. Additionally, if the number of keys mapped to an indexed data file is less than a threshold number (corresponding to the number of entries which can be held in a reasonable index), the index for the data file is built with a one-to-one relationship between keys and index entries such that each index entry identifies a data block holding data for only one key. This avoids the overhead of the collision detection of hashing when it ceases to be useful.
Owner:IBM CORP

Method for acquiring and storing big data of power information

The present invention, belonging to the field of acquisition and storage of big data of power information, relates to a method for acquiring and storing the big data of power information, and solves the problems in the acquisition and storage process of the big data of power information. The method comprises three steps: data acquisition, data storage and management, and data analysis. The method achieves the beneficial effects that the present invention provides the method for acquiring and storing the power information big data; and the problems of low response speed of a service system and long consumed time for waiting of a user, which are generated due to a large cardinal number of power users and a large quantity of information, can be well solved. Meanwhile, for massive information generated by a trading system on the basis of power data, the method can better complete data extension and analysis functions than a traditional database. Moreover, according to the method, massive Internet media data can be acquired, stored and processed so as to better learn about the trade trend; and during the operation process, the storage method has an efficient inquiring function so that retrieval can be rapidly completed when the data volume is increased sharply.
Owner:CENT CHINA GRID +2

Mapping of an RDBMS schema onto a multidimensional data model

A Relational Database Management System (RDBMS) having any arbitrary structure is translated into a multi-dimensional data model suitable for performing OLAP operations upon. If a relational table defining the relational model includes any tables with cardinality of 1,1 or 0,1, the tables are merged into a single table. If the relational table is not normalized, then normalization is performed and a relationship between the original table and the normalized table is created. If the relational table is normalized, but not by dependence between columns, such as in the dimension table in a snowflake schema, the normalization process is performed using the foreign key in order to generate the normalized table. Once the normalized table is generated, OLAP measures are derived from the normalized relational table by an automated method. In addition, OLAP dimensions are derived from the normalized relational table and the results of the OLAP measures derivation by an automated method according to the present invention. According to an aspect, it is possible to associate a member of a dimension to another member of the same or another dimension. According to another aspect, it is possible to create a new dimension of analysis, the members of which are all the different values that a scalar expression can take on. According to yet another aspect, it is possible to access the various instances of a Reporting Object as members in an OLAP dimension. According to the yet another aspect, it is possible to apply opaque filters or a combination of them to the data that underlies analysis.
Owner:BUSINESS OBJECTS SOFTWARE

Mapping of an RDBMS schema onto a multidimensional data model

InactiveUS20050015360A1Functional dependencyEasy to createData processing applicationsDigital data processing detailsSnowflake schemaRelational model
A Relational Database Management System (RDBMS) having any arbitrary structure is translated into a multi-dimensional data model suitable for performing OLAP operations upon. If a relational table defining the relational model includes any tables with cardinality of 1,1 or 0,1, the tables are merged into a single table. If the relational table is not normalized, then normalization is performed and a relationship between the original table and the normalized table is created. If the relational table is normalized, but not by dependence between columns, such as in the dimension table in a snowflake schema, the normalization process is performed using the foreign key in order to generate the normalized table. Once the normalized table is generated, OLAP measures are derived from the normalized relational table by an automated method. In addition, OLAP dimensions are derived from the normalized relational table and the results of the OLAP measures derivation by an automated method according to the present invention. According to an aspect, it is possible to associate a member of a dimension to another member of the same or another dimension. According to another aspect, it is possible to create a new dimension of analysis, the members of which are all the different values that a scalar expression can take on. According to yet another aspect, it is possible to access the various instances of a Reporting Object as members in an OLAP dimension. According to the yet another aspect, it is possible to apply opaque filters or a combination of them to the data that underlies analysis.
Owner:BUSINESS OBJECTS SOFTWARE
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