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Tthe condition that occurs when two or more programs (or people) try to access the same data
at the same time.
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Tthe ability to distribute resources (programs, files and data bases) across the
network.
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All the databases of the company.This includes legacy systems,old and new
transaction systems,general business systems,client/server databases,data
warehouses and data marts.
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Corporate Information Warehouse (CIF) |
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The architectural framework that houses the ODS, data warehouse, data marts, i/t
interface, and the operational environment. The cif is held together logically
by metadata and physically by a network such as the Internet.
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The fundamental structure for information in an OLAP system. A structure that
stores multi-dimensional information, having one CELL for each possible
combination of dimensions.
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Facts, concepts, or instructions that a computer records, stores and processes.
Used in conjunction with INFORMATION SYSTEMS, “raw data” is organized in such a
way that people can understand the results.
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Removing errors and inconsistencies from data being inported to a data
warehouse.
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a software tool for recording the definition of data, the relationship of one
category of data to another, the attributes and keys of groups of data, and so
forth.
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the approach to development that centers around identifying the commonality of
data through a data model and building programs that have a broader scope thn
the immediate application.
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a process whose resource consumption depends on the data on which it operates.
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A department-specific data warehouse.
A) Independent – fed from legacy
systems within the department
B) Dependent – fed from the enterprise data
warehouse (preferred)
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The process of finding hidden patterns and relationships in data. For instance,
a consumer goods company may track 200 variables about each consumer. There are
scores of possible relationships among the 200 variables. Data mining tools will
identify the significant relationships.
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Removing errors and inconsistencies from data being imported into a data
warehouse.
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The modification or alteration of data as it is being moved into the data
warehouse.
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A data type defines the type of data stored in a specific database column, such
as date, numeric or character data. Significant differences in data types exist
between different platforms’ databases.
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A data warehouse is a subject oriented, integrated, non volatile, time variant
collection of data. The data warehouse contains atomic level data and summarized
data specifically structured for querying and reporting.
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An enterprise-wide implementation that replicates data from the same publication
table on different servers/platforms to a single subscription table. This
implementation effectively consolidates data from multiple sources.
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The logical and physical definition of a database structure.
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A stamp added by an application that identifies a task or activity by the date
and time it was initiated and/or completed. This can appear as part of a
transaction log, message queue content in job logs.
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A centralized database that has been partitioned according to a business or
end-user defined subject area. Typically ownership is also moved to the owners
of the subject area.
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Glossary 
